# NB: Patchwork is still in development, and installed directly from github. Uncomment the following line if you face patchwork errors.
# devtools::install_github("thomasp85/patchwork")
::p_load(tmap, sf, sfdep, tidyverse, DT, leaflet, stplanr, sp, reshape2, wdpar, patchwork, performance) pacman
Take-home Exercise 2
0. Goals & Objectives.
“A map is not interesting; the patterns and factors revealed by the map is interesting. Can we explain things by building a spatial model?” -- Prof Kam
In this study, we construct a Spatial Interaction Model to determine factors affecting urban mobility patterns, specifically public bus transit. This helps us demonstrate the potential value of Geospatial Data Science & Analysis, by harnessing the explosive growth of data from computing technologies like SMART cards for public transport.
More specifically, we study public bus mobility patterns during Weekday Evening peak periods.
In this study, we build a Generalised Linear Regression Model (GLM) to study a Modifible Areal Unit Problem (MAUP). Singapore’s Master Plan Subzone (MPSZ) is too large and coarse for study; instead, we create analytical hexagons to approximate a traffic/transportation analysis zone (TAZ).
More detail about the task from: https://isss624-ay2023-24nov.netlify.app/take-home_ex02
Due to the nature of EDA and Data Analysis, parts of this page have been Collapsed or placed behind tabs, to avoid excessive scrolling.
For easier reading, this study is also presented in point-form.
0.1 Datasets used
0.1.1 Aspatial Dataset
- Two aspatial datasets were used in this study, as described below:
Dataset, Purpose & Source: | Key columns |
---|---|
Via data.gov |
|
Via LTA DataMall |
|
0.1.2 Geospatial Dataset
Geospatial datasets were used for two major purposes in this study:
To provide context:
MPSZ2019
helped give us the outline of Singapore and to provide context for our analytical hexagons/TAZ in the study. Importantly,BusStop
also helped trace the location of bus stops to locate the flow of traffic.As explanatory variables: Details such as the location of businesses, F&B outlets, and retail areas.
Filename: | Purpose |
---|---|
MPSZ-2019 Shapefile |
To provide geographical context for analytical hexagons |
BusStop Shapefile |
To identify location of Bus Stops by bus stop number |
Shapefiles provided by Prof Kam:
|
To provide estimation of density/number for use in spatial interaction modelling |
MRT Shapefiles, via LTA Datamall:
|
For analysis of MRT stations / MRT station exits in relation to bus flow traffic |
1. Geospatial Data Wrangling
This study was performed in R, written in R Studio, and published using Quarto.
1.1 Import Packages
This function calls pacman
to load a number of key R
packages for use. The following packages are grouped thematically by function.
tmap
: For thematic mapping; a powerful mapping package for geospatial visualisationleaflet
: for custom layer controls overtmap
visualisations.
sf
: For geospatial data handling, but also geoprocessing of buffer zones, point-in-polygon count, etc;sp
: An earlier iteration ofsf
, but loaded here for its high performancespDists()
functionssfdep
: For useful functions when creating weight matrix, LISA calculations etc;wdpar
: For unique function to fix invalid geometry.
tidyverse
: For non-spatial data handling; commonly used R package and containsdplyr
for dataframe manipulation andggplot
for data visualization;reshape2
: For themelt()
function, which suits our need better thantidyr
’spivot_longer()
alternativepatchwork
: For arranging subplots created byggplot
with simpler syntaxDT
: for displaying datatables;
stplanar
: For creating desire lines to visualize O/D flowsperformance
: For comparing performance and RMSE across models
1.2 Import Geospatial Data I
1.2.1 raw_bus_stop_sf
: Load Geospatial Bus Stop Data
- First, we load
BusStop
shapefile data from LTA Datamall; st_read()
is used to import the ESRI Shapefile data into ansf
dataframe.- From previous take-home exercise, we know BusStop has the incorrect CRS (coordinate reference system), as EPSG 9001 instead of 3414, so we use
st_transform()
to correct this - We use
head()
to preview the first 6 rows
- From previous take-home exercise, we know BusStop has the incorrect CRS (coordinate reference system), as EPSG 9001 instead of 3414, so we use
show code
<- st_read(dsn = "data/geospatial",
raw_bus_stop_sf layer = "BusStop") %>%
st_transform(crs = 3414)
Reading layer `BusStop' from data source
`C:\1darren\ISSS624\Take-home_Ex02\data\geospatial' using driver `ESRI Shapefile'
Simple feature collection with 5161 features and 3 fields
Geometry type: POINT
Dimension: XY
Bounding box: xmin: 3970.122 ymin: 26482.1 xmax: 48284.56 ymax: 52983.82
Projected CRS: SVY21
show code
head(raw_bus_stop_sf)
Simple feature collection with 6 features and 3 fields
Geometry type: POINT
Dimension: XY
Bounding box: xmin: 13228.59 ymin: 30391.85 xmax: 41603.76 ymax: 44206.38
Projected CRS: SVY21 / Singapore TM
BUS_STOP_N BUS_ROOF_N LOC_DESC geometry
1 22069 B06 OPP CEVA LOGISTICS POINT (13576.31 32883.65)
2 32071 B23 AFT TRACK 13 POINT (13228.59 44206.38)
3 44331 B01 BLK 239 POINT (21045.1 40242.08)
4 96081 B05 GRACE INDEPENDENT CH POINT (41603.76 35413.11)
5 11561 B05 BLK 166 POINT (24568.74 30391.85)
6 66191 B03 AFT CORFE PL POINT (30951.58 38079.61)
- We check the coordinate reference system with
st_crs()
; and see that it is now indeed correctly set to 3414:
st_crs
Readout
show code
st_crs(raw_bus_stop_sf)
Coordinate Reference System:
User input: EPSG:3414
wkt:
PROJCRS["SVY21 / Singapore TM",
BASEGEOGCRS["SVY21",
DATUM["SVY21",
ELLIPSOID["WGS 84",6378137,298.257223563,
LENGTHUNIT["metre",1]]],
PRIMEM["Greenwich",0,
ANGLEUNIT["degree",0.0174532925199433]],
ID["EPSG",4757]],
CONVERSION["Singapore Transverse Mercator",
METHOD["Transverse Mercator",
ID["EPSG",9807]],
PARAMETER["Latitude of natural origin",1.36666666666667,
ANGLEUNIT["degree",0.0174532925199433],
ID["EPSG",8801]],
PARAMETER["Longitude of natural origin",103.833333333333,
ANGLEUNIT["degree",0.0174532925199433],
ID["EPSG",8802]],
PARAMETER["Scale factor at natural origin",1,
SCALEUNIT["unity",1],
ID["EPSG",8805]],
PARAMETER["False easting",28001.642,
LENGTHUNIT["metre",1],
ID["EPSG",8806]],
PARAMETER["False northing",38744.572,
LENGTHUNIT["metre",1],
ID["EPSG",8807]]],
CS[Cartesian,2],
AXIS["northing (N)",north,
ORDER[1],
LENGTHUNIT["metre",1]],
AXIS["easting (E)",east,
ORDER[2],
LENGTHUNIT["metre",1]],
USAGE[
SCOPE["Cadastre, engineering survey, topographic mapping."],
AREA["Singapore - onshore and offshore."],
BBOX[1.13,103.59,1.47,104.07]],
ID["EPSG",3414]]
- We use
qtm()
to perform a quick visualization of the various bus stops:
show code
tmap_mode("plot")
tmap mode set to plotting
show code
qtm(raw_bus_stop_sf)
However, this is hard to visualize without the context of boundaries and details. Let’s load the mpsz
shapefile to provide geographical context
1.2.2 mpsz_sf
: Visualizing Singapore’s Master Plan 2019 Subzone Boundaries
We now load Master Plan 2019 Subzone Boundary to provide geographical context for our bus stops.
Next, we load
MPSZ-2019
shapefile data from Data.gov.sg, comprising Master Plan 2019 Subzone Boundary (No Sea) data ;st_read()
is used to import the ESRI Shapefile data into ansf
dataframe;- We use
st_crs()
to check the Coordinate Reference System (CRS);
- We use
show code
<- st_read(dsn = "data/geospatial",
mpsz_sf layer = "MPSZ-2019")
Reading layer `MPSZ-2019' from data source
`C:\1darren\ISSS624\Take-home_Ex02\data\geospatial' using driver `ESRI Shapefile'
Simple feature collection with 332 features and 6 fields
Geometry type: MULTIPOLYGON
Dimension: XY
Bounding box: xmin: 103.6057 ymin: 1.158699 xmax: 104.0885 ymax: 1.470775
Geodetic CRS: WGS 84
show code
st_crs(mpsz_sf)
Coordinate Reference System:
User input: WGS 84
wkt:
GEOGCRS["WGS 84",
DATUM["World Geodetic System 1984",
ELLIPSOID["WGS 84",6378137,298.257223563,
LENGTHUNIT["metre",1]]],
PRIMEM["Greenwich",0,
ANGLEUNIT["degree",0.0174532925199433]],
CS[ellipsoidal,2],
AXIS["latitude",north,
ORDER[1],
ANGLEUNIT["degree",0.0174532925199433]],
AXIS["longitude",east,
ORDER[2],
ANGLEUNIT["degree",0.0174532925199433]],
ID["EPSG",4326]]
- We see that
MPSZ-2019
is set to WGS 84/EPSG 4326 projection, which is inconsistent with the rest of our dataset; - Thus, we use
st_transform()
to reproject the data to SVY21/EPSG 3414 Coordinate Reference System (CRS) to ensure consistent distance calculation:
show code
<- mpsz_sf %>%
mpsz_sf st_transform(crs=3414)
st_crs(mpsz_sf)
Coordinate Reference System:
User input: EPSG:3414
wkt:
PROJCRS["SVY21 / Singapore TM",
BASEGEOGCRS["SVY21",
DATUM["SVY21",
ELLIPSOID["WGS 84",6378137,298.257223563,
LENGTHUNIT["metre",1]]],
PRIMEM["Greenwich",0,
ANGLEUNIT["degree",0.0174532925199433]],
ID["EPSG",4757]],
CONVERSION["Singapore Transverse Mercator",
METHOD["Transverse Mercator",
ID["EPSG",9807]],
PARAMETER["Latitude of natural origin",1.36666666666667,
ANGLEUNIT["degree",0.0174532925199433],
ID["EPSG",8801]],
PARAMETER["Longitude of natural origin",103.833333333333,
ANGLEUNIT["degree",0.0174532925199433],
ID["EPSG",8802]],
PARAMETER["Scale factor at natural origin",1,
SCALEUNIT["unity",1],
ID["EPSG",8805]],
PARAMETER["False easting",28001.642,
LENGTHUNIT["metre",1],
ID["EPSG",8806]],
PARAMETER["False northing",38744.572,
LENGTHUNIT["metre",1],
ID["EPSG",8807]]],
CS[Cartesian,2],
AXIS["northing (N)",north,
ORDER[1],
LENGTHUNIT["metre",1]],
AXIS["easting (E)",east,
ORDER[2],
LENGTHUNIT["metre",1]],
USAGE[
SCOPE["Cadastre, engineering survey, topographic mapping."],
AREA["Singapore - onshore and offshore."],
BBOX[1.13,103.59,1.47,104.07]],
ID["EPSG",3414]]
- Now, let’s visualize the bus stop within the
mpsz
subzone boundaries; - We set
tmap_mode("plot")
to allow us to scroll; - We use
tm_shape() + tm_polygons()
to map a base layer of thempsz
boundaries;- On top of which, we layer
tm_shape() + tm_dots()
to show the bus stops.
- On top of which, we layer
show code
tmap_mode("plot")
tmap mode set to plotting
show code
tmap_options(check.and.fix = TRUE)
tm_shape(mpsz_sf) +
tm_polygons() +
tm_shape(raw_bus_stop_sf) +
tm_dots()
Warning: The shape mpsz_sf is invalid. See sf::st_is_valid
- We note there are a number of bus stops outside Singapore’s boundaries; Specifically, three bus stops in a cluster just outside the Causeway, and one further North.
- We perform several steps to isolate & check the data;
- we use
st_filter()
to find bus stops within Singapore’s Administrative National Boundaries, and createsg_bus_stop_sf
for future use. - to check what bus stops have been dropped, we use
anti_join()
to compareraw_bus_stop_sf
withsg_bus_stop_sf
. We usest_drop_geometry
on bothsf
dataframes to only compare the non-geometry columns.
- we use
show code
<- st_filter(raw_bus_stop_sf, mpsz_sf)
sg_bus_stop_sf anti_join(st_drop_geometry(raw_bus_stop_sf), st_drop_geometry(sg_bus_stop_sf))
Joining with `by = join_by(BUS_STOP_N, BUS_ROOF_N, LOC_DESC)`
BUS_STOP_N BUS_ROOF_N LOC_DESC
1 47701 NIL JB SENTRAL
2 46239 NA LARKIN TER
3 46609 NA KOTARAYA II TER
4 46211 NIL JOHOR BAHRU CHECKPT
5 46219 NIL JOHOR BAHRU CHECKPT
- We see there are in fact 5 bus stops outside of Singapore (including the defunct Kotaraya II Terminal) that have been removed, which means our data cleaning was correct.
1.3 Geospatial Data Cleaning
1.3.1 Removing Duplicate Bus Stops
- From Take-home Exercise 1, we know that there are a number of repeated bus stops. We repeat some steps;
- We use
length()
to find the total number of raw values in the$BUS_STOP_N
column ofsg_bus_stop_sf;
- We then compare this to
length(unique())
to find the unique values;
- We then compare this to
- And, indeed, we find there are 16 bus stops that are repeated;
cat("\nResults before removing duplicates: \n=======================================================\n")
Results before removing duplicates:
=======================================================
cat("Total number of rows in sg_bus_stop_sf\t\t: ", paste0(length(sg_bus_stop_sf$BUS_STOP_N)))
Total number of rows in sg_bus_stop_sf : 5156
cat("\nTotal unique bus stop IDs in sg_bus_stop_sf\t: ", paste0(length(unique(sg_bus_stop_sf$BUS_STOP_N))))
Total unique bus stop IDs in sg_bus_stop_sf : 5140
cat("\nRepeated bus stops\t\t\t\t: ", paste0(length(sg_bus_stop_sf$BUS_STOP_N) - length(unique(sg_bus_stop_sf$BUS_STOP_N))))
Repeated bus stops : 16
- It appears there are 16 datapoints that are specifically repeated; let’s remove them by deleting the duplicated rows:
- we use
duplicated()
to identify rows with repeated values of$BUS_STOP_N
; duplicated rows will returnTRUE
while all other rows will returnFALSE
- We use
!
to invert the values, so only the unduplicated rows will returnTRUE
. - We then use square brackets
[]
to indexsg_bus_stop_sf
based on the rows, and return only the unduplicated rows; - We then assign the output using
<-
intobus_stop_sf
, for use.
- we use
show code
<- sg_bus_stop_sf[!duplicated(sg_bus_stop_sf$BUS_STOP_N), ]
bus_stop_sf head(bus_stop_sf)
Simple feature collection with 6 features and 3 fields
Geometry type: POINT
Dimension: XY
Bounding box: xmin: 13228.59 ymin: 30391.85 xmax: 41603.76 ymax: 44206.38
Projected CRS: SVY21 / Singapore TM
BUS_STOP_N BUS_ROOF_N LOC_DESC geometry
1 22069 B06 OPP CEVA LOGISTICS POINT (13576.31 32883.65)
2 32071 B23 AFT TRACK 13 POINT (13228.59 44206.38)
3 44331 B01 BLK 239 POINT (21045.1 40242.08)
4 96081 B05 GRACE INDEPENDENT CH POINT (41603.76 35413.11)
5 11561 B05 BLK 166 POINT (24568.74 30391.85)
6 66191 B03 AFT CORFE PL POINT (30951.58 38079.61)
show code
cat("\nResults after removing duplicates: \n=======================================================\n")
Results after removing duplicates:
=======================================================
show code
cat("Total number of rows in bus_stop_sf\t\t: ", paste0(length(bus_stop_sf$BUS_STOP_N)))
Total number of rows in bus_stop_sf : 5140
show code
cat("\nTotal unique bus stop IDs in bus_stop_sf\t: ", paste0(length(unique(bus_stop_sf$BUS_STOP_N))))
Total unique bus stop IDs in bus_stop_sf : 5140
show code
cat("\nRepeated bus stops\t\t\t\t: ", paste0(length(bus_stop_sf$BUS_STOP_N) - length(unique(bus_stop_sf$BUS_STOP_N))))
Repeated bus stops : 0
- We can do a quick check to visualize these;
- We use
tmap_mode("view")
to allow us to scroll around and check that the bus stops fall within Singapore’s national boundaries, and set zoom limits to focus the attention - We combine
tm_shape()
andtm_polygons()
to map the master plan subzones in grey; - We combine
tm_shape()
andtm_dots()
to map locations of bus stops; for visual distinction with the grey zones, we use the “Spectral” palette
- We use
show code
tmap_mode("view")
tmap mode set to interactive viewing
show code
tm_shape(mpsz_sf) +
tm_polygons() +
tm_shape(bus_stop_sf) +
tm_dots(col = "BUS_STOP_N", palette = "Spectral", legend.show = FALSE) +
tm_view(set.zoom.limits = c(11, 13))
Warning: The shape mpsz_sf is invalid (after reprojection). See sf::st_is_valid
Warning: Number of levels of the variable "BUS_STOP_N" is 5140, which is larger
than max.categories (which is 30), so levels are combined. Set
tmap_options(max.categories = 5140) in the layer function to show all levels.
show code
tmap_mode("plot")
tmap mode set to plotting
- Now, we can start preparing the hexagon map.
1.4 Generating Hexagon Map of Analytical Hexagons
- We generate the hexagon map in three steps:
- We use
st_make_grid()
withsquare = FALSE
to create the hexagon layer as defined in the study, which we nameraw_hex_grid
;- We pass
cellsize = 750
to create the hexagons of necessary size. Prof Kam defined the apothem as 375m, as the Traffic Analysis Zone is typically 750m in size. - We use
st_transform()
just in case we need to reproject the coordinate system, just in case.
- We pass
- We use
st_sf()
to convertraw_hex_grid
into ansf
dataframe for further manipulation later; - However, trying to visualize this right now just gives us a map full of hexagons, so we need to eliminate the empty hexagons;- We use
mutate()
to create a new column,$n_bus_stops
that counts the number of bus stops in each hexagon usinglengths(st_intersects())
st_intersects()
gives us a list of bus stops in each hexagon, so we uselengths()
to count the number
- We use
- We create our final
sf
dataframe,hexagon_sf
in two steps;- First, we use
filter()
to select only hexagons with nonzero number of bus stops; - Then,
mutate()
is used here to create agrid_id
column, labelling only the hexagons with nonzero bus stops.
- First, we use
- Finally, we perform a quick plot to confirm that every bus stop is inside a hexagon;
- Using
hexagon_sf
as our base layer, we usetmap_shape()
andtm_polygons()
to visualizes our hexes. We passpalette = "Spectral"
for visual distinguishment against the black dots of the bus stops. - We use
tmap_shape()
andtm_dots()
to visualize our bus stop as black dots
- Using
show code
# STEP 1 - Create hexagon map
<- st_make_grid(bus_stop_sf, cellsize =750, square = FALSE) %>%
raw_hex_grid st_transform(crs = 3414)
# STEP 2 - Convert to sf object and count the number of bus stops inside;
<- st_sf(raw_hex_grid) %>%
raw_hex_grid mutate(n_bus_stops = lengths(st_intersects(raw_hex_grid, sg_bus_stop_sf)))
# Count number of points in each grid, code snippet referenced from:
# https://gis.stackexchange.com/questions/323698/counting-points-in-polygons-with-sf-package-of-r
# STEP 3 - Filter for nonempty hexes and label:
<- filter(raw_hex_grid, n_bus_stops > 0)
hexagon_sf <- hexagon_sf %>%
hexagon_sf mutate(grid_id = 1:nrow(hexagon_sf)) %>%
select(grid_id, raw_hex_grid, n_bus_stops)
write_rds(hexagon_sf, "data/rds/hexagon_sf.rds")
tmap_mode("plot")
tmap mode set to plotting
show code
tm_shape(hexagon_sf) +
tm_polygons(col = "grid_id", palette = "Spectral", legend.show = FALSE) +
tm_shape(bus_stop_sf) +
tm_dots()
show code
tmap_mode("plot")
tmap mode set to plotting
- We can visually confirm that every black dot is within a hexagon.
- We re-use a bit of code from Take-Home Exercise 1 to plot our analytical hexagons on a map of Singapore and visualize the number of bus stops in each hexagon:
show code
tmap_mode("view")
tmap mode set to interactive viewing
show code
tm_basemap(providers$OneMapSG.Grey) +
tm_shape(hexagon_sf) +
tm_fill(
col = "n_bus_stops",
palette = "-plasma",
style = "cont",
breaks = c(0, 4, 8, 12, 16, 20),
title = "Number of bus_stops",
id = "grid_id",
showNA = FALSE,
alpha = 0.6,
popup.vars = c(
"Number of Bus Stops: " = "n_bus_stops"
),popup.format = list(
n_bus_stops = list(format = "f", digits = 0)
)+
) tm_borders(col = "grey40", lwd = 0.7) +
tm_view(set.zoom.limits = c(11, 13))
show code
tmap_mode("plot")
tmap mode set to plotting
- Note the advantage of using OneMapSG: We can see the faint lines of the MRT system underneath, connecting the darker regions of hexagons with high bus-stop-density. This may be a clue for later on.
- We perform some simple stats to count the total number of filtered hexagons, and to see the maximum number of bus stops in a hexagon.
- Since our hexagons cover a larger area, the number of raw and filtered analytical hexagons have decreased compared to Take-Home Exercise 1;
- However, the maximum number of bus stops per hexagon is higher, with 8 hexagons holding 17-19 bus stops.
show code
# NB: Code reused from my own take-home exercise 1
cat(paste("Total number of raw hexagons is\t\t\t: ", nrow(raw_hex_grid), "\n"))
cat(paste("Total number of hexagons (n_bus_stop > 1) is\t: ", nrow(hexagon_sf)), "\n")
cat("\nPrinting map_hexagon_sf:\n >> ")
$n_bus_stops > 16, ] hexagon_sf[hexagon_sf
- For the next step, we’ll need to manage the Aspatial bus trips dataset, which is what we’ll work on now.
1.5 Aspatial Data Wrangling: Bus Trip Dataset
1.5.1 Import Bus O/D Dataset
For our purposes, we will focus only on 2023-October Passenger Volume by Origin Destination Bus Stops, downloaded from LTA DataMall;
We use
read_csv()
to load the data from the .csv file;We use
select()
with a-
sign to remove two columns redundant for our analysis:$PT_TYPE
column indicates the type of public transport, however, every value is “BUS”$YEAR_MONTH
column similarly has “2023-10” for every value, which we are aware of- With this in mind, we drop these two columns to save space.
Finally, we use
mutate_at()
to convert two columns ($ORIGIN_PT_CODE
and$DESTINATION_PT_CODE
)from character to factor, for easier analysis.We use
str()
to check the columns, datatypes, and number of rows:
show code
<- read_csv("data/aspatial/origin_destination_bus_202310.csv") %>%
odbus_2310 select( -PT_TYPE, -YEAR_MONTH) %>%
mutate_at(c("ORIGIN_PT_CODE", "DESTINATION_PT_CODE"), as.factor)
str(odbus_2310)
- This is a huge
tibble
dataframe with over 5 million rows, so we will filter this now by peaks; - For this study, we focus on Weekday afternoon peak
1.5.2 Filter For Peaks – Weekday Afternoon
- We now perform a multi-step filter process;
- We combine
mutate()
withcase_when()
to create a new column,$PEAK
, based on the study criteria:- We set the value to “WEEKDAY_AFTERNOON_PEAK” if
$DAY_TYPE
is “WEEKDAY” and bus tap-on time (e.g.$TIME_PER_HOUR
) is between 5 pm and 8pm, inclusive;- Note that we convert the values for
$TIME_PER_HOUR
to 24-hour clock, e.g. “5pm” is “17” hundred hours, “8pm” is “20” hundred hours.
- Note that we convert the values for
- For all remaining values, we assign an “Unknown” value.
- We set the value to “WEEKDAY_AFTERNOON_PEAK” if
- We then use
filter()
to eliminate those with “Unknown”$PEAK
values, i.e. rows outside the period of interest for the study - We use
group_by()
to group the values by$ORIGIN_PT_CODE
and$DESTINATION_PT_CODE
, and usesummarise()
to aggregate the sum of$TOTAL_TRIPS
as a new column,$TRIPS
. - We use
write_rds()
to save the output dataframe,odbus_filtered
, as an RDS object for future reference/load.
- We combine
show code
<- odbus_2310 %>%
odbus_filtered mutate(PEAK = case_when(
== "WEEKDAY" & TIME_PER_HOUR >= 17 & TIME_PER_HOUR <= 20 ~ "WEEKDAY_AFTERNOON_PEAK",
DAY_TYPE TRUE ~ "Unknown"
%>%
)) filter(
case_when(
== "Unknown" ~ FALSE,
PEAK TRUE ~ TRUE
%>%
)) group_by(ORIGIN_PT_CODE, DESTINATION_PT_CODE) %>%
summarise(TRIPS = sum(TOTAL_TRIPS))
write_rds(odbus_filtered, "data/rds/odbus_filtered_weekday.rds")
head(odbus_filtered)
1.6 od_data
: Creating bus trip flow data between hexagons
- For our study purposes, we need to have the number of bus trips originating from each hexagon. In order to achieve this, we must combine our three current dataframes:
hexagon_sf
, ansf
dataframe with$grid_id
column (primary key) and the specific polygon geometry of each hexagon;bus_stop_sf
, ansf
dataframe with the$BUS_STOP_N
(primary key) and the point geometry of each bus stop;odbus_filtered
, atibble
dataframe with the$ORIGIN_PT_CODE
(primary key) column and the trip details for each of the four peak periods of interest.
1.6.1 bus_stop_hexgrid_id
: Identify Hexagon grid_id
For Each Bus Stop
- First, we combine
hexagon_sf
withsg_bus_stop_sf
;- We use
st_intersection
to combine the dataframes such that each row ofsg_bus_stop_sf
has an associatedgrid_id
; - We use
select()
to filter the resultantbus_stop_hexgrid_id
dataframe to only$grid_id
and$BUS_STOP_N
columns, and usest_drop_geometry()
to convert into a simple dataframe with just two columns:
- We use
show code
<- st_intersection(bus_stop_sf, hexagon_sf) %>%
bus_stop_hexgrid_id select(BUS_STOP_N, grid_id) %>%
st_drop_geometry()
cat("\nNumber of bus stops\t:", length(unique(bus_stop_hexgrid_id$BUS_STOP_N)))
cat("\nNumber of hexgrids\t:", length(unique(bus_stop_hexgrid_id$grid_id)))
head(bus_stop_hexgrid_id)
- Let’s check if there’s any duplicates:
show code
cat("\nNumber of unique bus stops\t\t:", length(unique(bus_stop_hexgrid_id$BUS_STOP_N)))
cat("\nNumber of unique hexgrids\t\t: ", length(unique(bus_stop_hexgrid_id$grid_id)))
cat("\nNumber of hexgrids in hexagon_sf\t: ", length(unique(hexagon_sf$grid_id)))
cat("\n\nPrinting rows with duplicated bus stop values :", bus_stop_hexgrid_id$BUS_STOP_N[duplicated(bus_stop_hexgrid_id$BUS_STOP_N)])
cat("\n\n(If the above rows are empty, there are no duplicates!)")
- We have confirmed there are no duplicates in
bus_stop_hexgrid_id
.
1.6.2 od_data
: Creating flow data by $ORIGIN_HEX
, $DESTIN_HEX
- Now we append hexagon code onto
odbus_filtered
. We do this in two steps; first adding the origin hexagon, then destination hexagon. - First, we use
left_join()
to add the hexagon$grid_id
byBUS_STOP_N
number;- We use
rename()
to rename columns, and specify the origin bus stop and origin hexagon grid_id asORIGIN_BS
andORIGIN_HEX
respectively; - We create a
duplicate
tibble data.frame to check for duplicate results, and luckily we see an empty tibble
- We use
show code
<- left_join(odbus_filtered , bus_stop_hexgrid_id,
od_data by = c("ORIGIN_PT_CODE" = "BUS_STOP_N")) %>%
rename(ORIGIN_BS = ORIGIN_PT_CODE,
ORIGIN_HEX = grid_id)
<- od_data %>%
duplicate group_by_all() %>%
filter(n()>1) %>%
ungroup()
duplicate
duplicate
returns an empty tibble dataframe, confirming we have no duplicate results.- Now we repeat the step, appending the destination hexagon grid_id as
$DESTIN_HEX
and once again checking for duplicates:
show code
<- left_join(od_data , bus_stop_hexgrid_id,
od_data by = c("DESTINATION_PT_CODE" = "BUS_STOP_N")) %>%
rename(DESTIN_BS = DESTINATION_PT_CODE,
DESTIN_HEX = grid_id)
<- od_data %>%
duplicate group_by_all() %>%
filter(n()>1) %>%
ungroup()
duplicate
- Once again, we have an empty tibble.
- Finally, we now create the final version of our flow dataset.
- Just to be safe, we perform a step to remove duplicates using
unique()
drop_na()
removes bus stops for which we have no info. It turns out there are bus stop numbers outside our bus stop dataset, like 03361, 03549, 03579, 59009;- We use
group_by()
to combine rows with the same$ORIGIN_HEX
and$DESTIN_HEX
, and aggregate the number of trips withsummarise()
- Just to be safe, we perform a step to remove duplicates using
show code
<- od_data %>%
od_data unique() %>%
drop_na() %>%
group_by(ORIGIN_HEX, DESTIN_HEX) %>%
summarise(SUM_TRIPS = sum(TRIPS))
head(od_data)
- Now we write the output to RDS
show code
write_rds(od_data, "data/rds/od_data.rds")
1.7 flowLine
: Creating desire lines to visualize O/D of commuter flows
- From previous, we load
od_data
:
show code
<- read_rds("data/rds/od_data.rds")
od_data <- read_rds("data/rds/hexagon_sf.rds") hexagon_sf
- In this study, our focus is on interzonal flow, so we remove intrazonal flows with the below;
- We use square bracket indexing
[]
to select only specific rows, and leave the columns blank after the,
- We select only rows where the
$ORIGIN_HEX
is equival to$DESTIN_HEX
, i.e. intrazonal flows:
- We use square bracket indexing
- We use
summary()
to take a quick peek at the resultant interzonal flow dataset:
show code
<- od_data[od_data$ORIGIN_HEX!=od_data$DESTIN_HEX,]
od_flow_data summary(od_flow_data$SUM_TRIPS)
Min. 1st Qu. Median Mean 3rd Qu. Max.
1 8 35 343 159 77350
- We see there is tremendous right skew in our dataset, going from 1 trip to 77350 trips during the peak period!
- The median (35) and the third quartile (159) are 2 orders of magnitude smaller than the maximum!
- We perform a series of quick visualizations to observe the disparity, using
ggplot
. We give a quick explanation, as this is not ISSS608 Visual Analytics & Applications;- We use
geom_point()
to create a scatterplot to visualize the distribution of$SUM_TRIPS
- We use
geom_histogram()
to create a histogram, usingseq()
to customize the bins for the histogram - To allow comparison between the three plots, we use
geom_vline()
with the argument “xintercept = 1000
” to draw a red vertical line. Even though the graphs are on three different scales, we can use the red line as a visual ‘threshold’ reference for 1000 trips.
- We use
- This is where we use the
patchwork
package, as it allows us to position the subplots without writing too much syntax. This is the beauty of R packages, indeed.
show code
<- ggplot(data = od_flow_data, aes(x=SUM_TRIPS, y=ORIGIN_HEX)) +
lplot geom_point() +
labs(title = "Scatterplot: Distribution of Bus Trips by Origin Hex",
x = "ORIGIN_HEX",
y = "SUM_TRIPS") +
geom_vline(xintercept = 1000, colour="red")
<- ggplot(data = od_flow_data,
rplot1 aes(x=SUM_TRIPS)) +
labs(title = "Histogram of Trips [0-20,000]",
x = "ORIGIN_HEX",
y = "(truncated) SUM_TRIPS") +
geom_histogram(breaks=seq(0, 20000, by = 1000)) +
geom_vline(xintercept = 1000, colour="red")
<- ggplot(data = od_flow_data,
rplot2 aes(x=SUM_TRIPS)) +
labs(title = "Histogram of Trips [0-2,000]",
x = "ORIGIN_HEX",
y = "(truncated) SUM_TRIPS") +
geom_histogram(breaks=seq(0, 2000, by = 250)) +
geom_vline(xintercept = 1000, colour="red")
# Here is where we use the patchwork syntax
# As opposed to fiddling around with ggarrange
/ (rplot1 + rplot2) lplot
- Now, we convert the flow data to
SpatialLinesDataFrame
fromstplanr
show code
<- od2line(flow = od_flow_data,
flowLine zones = hexagon_sf,
zone_code = "grid_id")
Creating centroids representing desire line start and end points.
show code
flowLine
Simple feature collection with 67737 features and 3 fields
Geometry type: LINESTRING
Dimension: XY
Bounding box: xmin: 3970.122 ymin: 26482.1 xmax: 48220.12 ymax: 49864.79
Projected CRS: SVY21 / Singapore TM
First 10 features:
ORIGIN_HEX DESTIN_HEX SUM_TRIPS geometry
1 1 7 3 LINESTRING (3970.122 27781....
2 1 9 34 LINESTRING (3970.122 27781....
3 1 16 182 LINESTRING (3970.122 27781....
4 1 20 18 LINESTRING (3970.122 27781....
5 1 22 6 LINESTRING (3970.122 27781....
6 1 23 1 LINESTRING (3970.122 27781....
7 1 28 1 LINESTRING (3970.122 27781....
8 1 32 145 LINESTRING (3970.122 27781....
9 2 5 2 LINESTRING (4345.122 28430....
10 2 9 4 LINESTRING (4345.122 28430....
2. Geospatial Visualization / Geospatial Data Science
2.1 Map 1: O-D Flows Over 1,000 trips
- From Section 1.7, we know that most of the flow lines have 1000 or fewer trips (63,342 out of 67,737, in fact);
- Therefore, we will avoid plotting
flowLine
directly, as it is extremely visually noisy;- With 67,737 flow lines, the map will simply be covered in overlapping black lines and have no visual information value.
- Instead, we choose to focus on the high-traffic flow lines with >1000 trips;
- With
mpsz_sf
andhexagon_sf
as base, we usetm_lines()
to plotflowLine
- We define custom breaks and use both “
palette
” and “scale
” arguments to add colour and thickness to flow lines for visual scale
- With
<- c('#dec060','#d73027','#72001a', '#313695')
custom_palette tmap_mode("view")
tmap mode set to interactive viewing
tm_basemap(providers$OneMapSG.Grey) +
tm_shape(hexagon_sf) +
tm_polygons(alpha = 0.5) +
%>%
flowLine filter(SUM_TRIPS >= 1000) %>%
tm_shape() +
tm_lines(col = "SUM_TRIPS",
lwd = "SUM_TRIPS",
palette = custom_palette,
style = "fixed",
breaks = c(1000, 10000, 20000, 50000, 80000),
scale = c(0.1, 1, 2, 4, 8, 12),
n = 6,
alpha = 0.8) +
tm_view(set.zoom.limits = c(11, 13))
Legend for line widths not available in view mode.
tmap_mode("plot")
tmap mode set to plotting
2.1.1 Map 1 Commentary of O-D Flows Over 1,000 trips
- Major Trips We see three thick purple lines;
- Two are in the west, around Jurong West/Choa Chu Kang areas, which may reflect key transport nodes for residential and industrial zones around that part of the island.
- In the north, the purple line points towards Woodlands Checkpoint/Causeawy, for commuters crossing into Malaysia. On that note,
- Longest Trips There are some exceptionally long lines from the East (Changi, Tampines, Pasir Ris) and Northeast (Punggol, Sengkang) areas towards the Woodlands Area.
- Most Trips Note the pattern of thin yellow-orange lines; they approximate the underlying MRT lines. Although we have filtered ~93% of the trips, we see that most of the flow lines between 1000-10,000 trips reflect connections made by MRT lines.
- Indeed, most of the dark orange/red lines connect to MRT stations like Ang Mo Kio, Bishan, and Toa Payoh (in the North) and Boon Lay, Choa Chu Kang and Clementi in the East.
2.2 Map 2: Most Most Popular Trip Origin, by Hexagons Grid_ID
- To visualize the flow better, we can examine the starting points of the trip flows.
- We do a quick box-plot to visualize this;
- First, we do a
group_by()
to aggregate trips by$ORIGIN_HEX
andSUMMARISE()
the trips - Then, we perform a
geom_boxplot()
to visualize the distribution of trips. - We use
geom_point()
andposition_jitter()
to layer a scatterplot on top to visualize the distribution better
- First, we do a
show code
<- od_flow_data %>%
od_flow_data_origin group_by(ORIGIN_HEX) %>%
summarise(SUM_ORIG_TRIPS = sum(SUM_TRIPS))
ggplot(od_flow_data_origin, aes(x = ORIGIN_HEX, y = SUM_ORIG_TRIPS)) +
geom_boxplot(fill = "lightblue", color = "black", outlier.shape = 16, outlier.colour = "red") +
geom_point(position = position_jitter(width = 0.2), color = "red", size = .5) +
scale_y_log10() +
labs(title = "Boxplot of Trips by Origin Hexagon, with Outliers Highlighted",
x = "Number of Trips",
y = "Value") + coord_flip()
Warning: Continuous x aesthetic
ℹ did you forget `aes(group = ...)`?
Note that the x-axis is exponential (We will use this later in our model).
Once again, we see the highly right-skewed distribution.
We will plot a map of the key hexagons, that is, the hexagons that originate the most trips. The steps are below:
- First, create
orig_hexagon_sf
that summarises the trips by$ORIGIN_HEX
; - Define custom thresholds at 90th / 99th /99.9th percentile;
- Plot a map using a combination of
tmap
andleaflet()
with three layers: -ORI_HEX
, the analytical hexagon layer, coloured by number of trips originated from each hexagon;
TOP_HEX
, showing the traffic flows from the top 3 hexagons by trips inORI_HEX
.TOP_TRIPS
, showing the traffic flows above 10,000 trips fromflowLine
earlier:
- First, create
show code
# Create custom hexagon sf by origin_hex
<- left_join(hexagon_sf, od_flow_data_origin,
orig_hexagon_sf by = c("grid_id" = "ORIGIN_HEX")) %>%
select(grid_id,
%>%
SUM_ORIG_TRIPS, raw_hex_grid) drop_na()
# Define custom thresholds
<- quantile(orig_hexagon_sf$SUM_ORIG_TRIPS, 0.9) # 61685
orig_trips_q90 <- quantile(orig_hexagon_sf$SUM_ORIG_TRIPS, 0.99) #269698
orig_trips_q99 <- quantile(orig_hexagon_sf$SUM_ORIG_TRIPS, 0.999) #475873
orig_trips_q999 <- c(0, orig_trips_q90, orig_trips_q99, orig_trips_q999, Inf)
custom_origin_breaks
<- c('#d73027','#72001a', '#313695')
truncated_palette
tmap_mode("plot")
tmap mode set to plotting
show code
<- tm_shape(orig_hexagon_sf, group="ORI_HEX") +
tm_ori_hex tm_polygons(col="SUM_ORIG_TRIPS", palette="YlGnBu", style = "fixed", breaks = custom_origin_breaks, group="ORI_HEX") +
tm_shape(filter(flowLine, ORIGIN_HEX %in% c(117, 324, 759)), group="TOP_HEX") +
tm_lines(col = "SUM_TRIPS",
lwd = "SUM_TRIPS",
palette = custom_palette,
style = "fixed",
breaks = c(0, 10000, 20000, 50000, 80000),
scale = c(1, 1.5, 2, 4),
n = 4,
alpha = 0.8,
legend.lwd.show=FALSE,
group="TOP_HEX") +
tm_shape(filter(flowLine, SUM_TRIPS >= 10000), group="TOP_TRIPS") +
tm_lines(col = "SUM_TRIPS",
lwd = "SUM_TRIPS",
palette = truncated_palette,
style = "fixed",
breaks = c(10000, 20000, 50000, 80000),
scale = c(2,3,4),
n = 3,
alpha = 0.8, group="TOP_TRIPS") +
tm_layout(legend.position = c("right", "bottom"), title= 'Trip Density by Origin Hex', title.position = c("left", "top")) +
tm_view(set.zoom.limits = c(11, 12))
%>%
tm_ori_hex tmap_leaflet() %>%
hideGroup(c("TOP_HEX")) %>%
addLayersControl(
overlayGroups = c("ORI_HEX", "TOP_HEX", "TOP_TRIPS"),
options = layersControlOptions(collapsed = FALSE),
position = "topleft"
)
legend.postion is used for plot mode. Use view.legend.position in tm_view to set the legend position in view mode.
Warning in g$scale * (w_legend/maxW): longer object length is not a multiple of
shorter object length
Warning in g$scale * (x/maxW): longer object length is not a multiple of
shorter object length
Legend for line widths not available in view mode.
2.2.1 Map 2 Commentary of Most Popular Trip Origin, by Hexagons Grid_ID
- Map 2 contains several overlaid layers; -
ORI_HEX
, our familiar analytical hexagon grid, but colour-coded by the total number of trips originating from that hexagon. We use a 90%/99%/99.9% scale to focus on the hexagons originating the highest traffic.TOP_HEX
, show the traffic flows from the top 3 hexagons by trips inORI_HEX
.TOP_TRIPS
, shows the top O/D flows inflowLine
.
- MRT Stations as Traffic Origins The three hexagons in
TOP_HEX
correspond to Boon Lay, Woodlands, and Tampines MRT stations, which are also bus interchanges and traffic hubs. This gives a hint for modelling later as to propulsiveness factors. - Short Trips from Top Hexagons Trips from the top hexagons tend to be shorter trips around the area, supporting the previous “traffic hub” statement. The one corollary appears to be a long line from Tampines to Woodlands, likely indicating a shuttle bus or Causeway traffic.
- Indeed, many of the major popular trips in
TOP_TRIPS
appear to shorter (1-2 hexagon) trips from MRT stations.
- Indeed, many of the major popular trips in
- CBD Disregarding the yellow hexagons (i.e. below 90th percentile), the top trafficked hexagons appear to be scattered along the CBD or at major MRT stations near residential/industrial zones.
2.3 Map 3: Most Most Popular Trip Destination, by Hexagons Grid_ID
- We follow similar steps to Section 2.2 to create the corresponding map by
$DESTIN_HEX
show code
<- od_flow_data %>%
od_flow_data_destin group_by(DESTIN_HEX) %>%
summarise(SUM_DEST_TRIPS = sum(SUM_TRIPS))
<- left_join(hexagon_sf, od_flow_data_destin,
dest_hexagon_sf by = c("grid_id" = "DESTIN_HEX")) %>%
select(grid_id,
%>%
SUM_DEST_TRIPS, raw_hex_grid) drop_na()
<- quantile(dest_hexagon_sf$SUM_DEST_TRIPS, 0.9) # 75836
dest_trips_q90 <- quantile(dest_hexagon_sf$SUM_DEST_TRIPS, 0.99) #193967
dest_trips_q99 <- quantile(dest_hexagon_sf$SUM_DEST_TRIPS, 0.999) #305409
dest_trips_q999 <- c(0, dest_trips_q90, dest_trips_q99, dest_trips_q999, Inf)
custom_destin_breaks
# tmap_mode("plot")
# tm_shape(mpsz_sf) +
# tm_polygons() +
# tm_shape(dest_hexagon_sf) +
# tm_polygons(col="SUM_DEST_TRIPS", palette="YlOrRd", style = "fixed", breaks = custom_origin_breaks)
#
# dest_hexagon_sf[dest_hexagon_sf$SUM_DEST_TRIPS > 260000,]
tmap_mode("plot")
tmap mode set to plotting
show code
<- tm_shape(dest_hexagon_sf, group="DES_HEX") +
tm_des_hex tm_polygons(col="SUM_DEST_TRIPS", palette="YlOrRd", style = "fixed", breaks = custom_destin_breaks, group="DES_HEX") +
tm_shape(filter(flowLine, DESTIN_HEX %in% c(117, 248, 324, 759)), group="TOP_DHEX") +
tm_lines(col = "SUM_TRIPS",
lwd = "SUM_TRIPS",
palette = custom_palette,
style = "fixed",
breaks = c(0, 10000, 20000, 50000, 80000),
scale = c(1, 1.5, 2, 4),
n = 4,
alpha = 0.8,
legend.lwd.show=FALSE,
group="TOP_DHEX") +
tm_shape(filter(flowLine, SUM_TRIPS >= 10000), group="TOP_DTRIPS") +
tm_lines(col = "SUM_TRIPS",
lwd = "SUM_TRIPS",
palette = truncated_palette,
style = "fixed",
breaks = c(10000, 20000, 50000, 80000),
scale = c(2,3,4),
n = 3,
alpha = 0.8, group="TOP_DTRIPS") +
tm_layout(legend.position = c("right", "bottom"), title= 'Trip Density by Destination Hex', title.position = c("left", "top")) +
tm_view(set.zoom.limits = c(11, 12))
%>%
tm_des_hex tmap_leaflet() %>%
hideGroup(c("TOP_DHEX")) %>%
addLayersControl(
overlayGroups = c("DES_HEX", "TOP_DHEX", "TOP_DTRIPS"),
options = layersControlOptions(collapsed = FALSE),
position = "topleft"
)
legend.postion is used for plot mode. Use view.legend.position in tm_view to set the legend position in view mode.
Warning in g$scale * (w_legend/maxW): longer object length is not a multiple of
shorter object length
Warning in g$scale * (x/maxW): longer object length is not a multiple of
shorter object length
Legend for line widths not available in view mode.
2.3.1 Map 3 Commentary of Most Popular Trip Destination, by Hexagons Grid_ID
- Map 3, as before, contains several overlaid layers; -
DES_HEX
, analytical hexagon grid colour-coded by the total number of trips arriving to that hexagon. We use a 90%/99%/99.9% scale to focus on the hexagons originating the highest traffic, and we see thatTOP_DHEX
, show the traffic flows from the top 4 hexagons by trips inDES_HEX
.TOP_DTRIPS
, shows the top O/D flows inflowLine
.
- Similar Traffic Hubs We see many similarities to the Origin-Hex map; many of the top hexes are near MRT stations, and the Boon Lay-Woodlands-Tampines trifecta once again rule as the top traffic hubs.
- Different, Dispersed Distribution Unlike the map in Section 2.2, however, we don’t see the CBD as the main destination hexes. The distribution of the 90th/99th/99.9th percentile has also shifted, suggesting a more even/less skewed distribution. This suggests that the movement pattern is dispersing; people are spreading out from major areas of work and commerce, back home or towards residential areas.
2.4 Map 4 Comparing Top Origin/Destination Hexagons:
- We perform our
leaflet
trick one last time, overlappingORI_HEX
andDES_HEX
from the last 2 maps to compare the top hexes by origin/destination:
show code
tmap_mode("plot")
tmap mode set to plotting
show code
<- tm_shape(orig_hexagon_sf, group="ORI_HEX") +
tm_ori_des tm_polygons(col="SUM_ORIG_TRIPS", palette="YlGnBu", style = "fixed", alpha = 0.5, breaks = custom_origin_breaks, group="ORI_HEX") +
tm_shape(dest_hexagon_sf, group="DES_HEX") +
tm_polygons(col="SUM_DEST_TRIPS", palette="YlOrRd", style = "fixed", alpha = 0.5, breaks = custom_destin_breaks, group="DES_HEX") +
tm_layout(legend.position = c("right", "bottom"), title= 'Comparing Trip Density by ORI/DES Hex', title.position = c("left", "top")) +
tm_view(set.zoom.limits = c(11, 12))
%>%
tm_ori_des tmap_leaflet() %>%
addLayersControl(
overlayGroups = c("ORI_HEX", "DES_HEX"),
options = layersControlOptions(collapsed = FALSE),
position = "topleft"
)
legend.postion is used for plot mode. Use view.legend.position in tm_view to set the legend position in view mode.
2.4.1 Map 4 Commentary of Most Popular Trip Destination, by Hexagons Grid_ID
- Similar Traffic Hubs When overlaid, the pattern becomes clearer; hexagons that originate most bus trips also tend to be the destination for most bus trips. The distribution pattern is subtly different, but not by much.
- This also highlights a major weakness of our analysis: Bus Trip data is insufficient, and many bus trips tend to start/end near MRT stations. For future study, we should combine MRT and bus trip data for a comprehensive picture of where commuters are actually arriving from/going to.
- Current data only suggests that people do in fact make use of the existing public transport infrastructure.
3. Geospatial Data Science II: Data Preparation for Spatial Interaction Models
3.1 Computing Distance Matrix
- To compute a distance matrix, we first start with our trusty
hexagon_sf
- We use
spDists()
ofsp
package to calculate centroid distances, passing “longlat=FALSE
” to generate Euclidean distance (since we are not using WGS84 projection)- However, this requires an
sp
dataframe, so we createhexagon_sp
first usingas(..., "Spatial)
to convert types
- However, this requires an
- We use
- The output
distance_matrix
is an 831x831 matrix (as we have 831 unique hexagons), so we preview only the first 10 rows and columns usinghead()
show code
<- read_rds("data/rds/hexagon_sf.rds")
hexagon_sf
<- as(hexagon_sf, "Spatial")
hexagon_sp <- spDists(hexagon_sp,
distance_matrix longlat = FALSE)
head(distance_matrix, n=c(10, 10))
[,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8]
[1,] 0.000 750.000 3269.174 1500.000 2704.163 3968.627 1299.038 2250.000
[2,] 750.000 0.000 2598.076 750.000 1984.313 3269.174 750.000 1500.000
[3,] 3269.174 2598.076 0.000 1984.313 750.000 750.000 2704.163 1500.000
[4,] 1500.000 750.000 1984.313 0.000 1299.038 2598.076 750.000 750.000
[5,] 2704.163 1984.313 750.000 1299.038 0.000 1299.038 1984.313 750.000
[6,] 3968.627 3269.174 750.000 2598.076 1299.038 0.000 3269.174 1984.313
[7,] 1299.038 750.000 2704.163 750.000 1984.313 3269.174 0.000 1299.038
[8,] 2250.000 1500.000 1500.000 750.000 750.000 1984.313 1299.038 0.000
[9,] 3436.932 2704.163 750.000 1984.313 750.000 750.000 2598.076 1299.038
[10,] 4683.748 3968.627 1500.000 3269.174 1984.313 750.000 3897.114 2598.076
[,9] [,10]
[1,] 3436.932 4683.748
[2,] 2704.163 3968.627
[3,] 750.000 1500.000
[4,] 1984.313 3269.174
[5,] 750.000 1984.313
[6,] 750.000 750.000
[7,] 2598.076 3897.114
[8,] 1299.038 2598.076
[9,] 0.000 1299.038
[10,] 1299.038 0.000
show code
# dim(distance_matrix)
- We note two details here that suggest we’re on the right track;
- Diagonals equal zero, which make sense, as the distance between a hexagon’s centroid and itself is zero;
- 750m between hexagons 1 & 2, which are adjacent.
- We now use
melt()
to convert our distance matrix intodist_pair
, a long data table of distance pairs between hexagon centroids. This is needed for spatial interaction modelling later;- We use
rename()
to name our column headers
- We use
show code
<- melt(distance_matrix) %>%
distPair rename(dist = value
grid_id_from = Var1
, grid_id_to = Var2)
, head(distPair, 10)
grid_id_from grid_id_to dist
1 1 1 0.000
2 2 1 750.000
3 3 1 3269.174
4 4 1 1500.000
5 5 1 2704.163
6 6 1 3968.627
7 7 1 1299.038
8 8 1 2250.000
9 9 1 3436.932
10 10 1 4683.748
- Note that we have intra-zonal distances/zero-distances, which may cause issues later. Let’s check the minimum distances:
show code
%>%
distPair filter(dist > 0) %>%
summary()
grid_id_from grid_id_to dist
Min. : 1 Min. : 1 Min. : 750
1st Qu.:208 1st Qu.:208 1st Qu.: 8250
Median :416 Median :416 Median :13269
Mean :416 Mean :416 Mean :14135
3rd Qu.:624 3rd Qu.:624 3rd Qu.:18929
Max. :831 Max. :831 Max. :44680
- The minimum distance between hexagons is still 750, which is correct; the apothem distance is 375m, which means double that is centroid-to-centroid distance of 750m.
- To avoid issues with zero-value distances below, we will arbritrarily convert intrazonal distance to 50m. However, we note that having removed intrazonal flows, we should not encounter this error later on.
$dist <- ifelse(distPair$dist == 0,
distPair50, distPair$dist)
%>%
distPair summary()
grid_id_from grid_id_to dist
Min. : 1 Min. : 1 Min. : 50
1st Qu.:208 1st Qu.:208 1st Qu.: 8250
Median :416 Median :416 Median :13269
Mean :416 Mean :416 Mean :14118
3rd Qu.:624 3rd Qu.:624 3rd Qu.:18929
Max. :831 Max. :831 Max. :44680
- Having convinced ourselves that the minimum distance is nonzero (50m), we write this to RDS and continue our data preparation work:
write_rds(distPair, "data/rds/distPair.rds")
3.2 Prepare Intrazonal OD flow data
- Our
od_data
comprises$ORIGIN_HEX
,$DESTIN_HEX
, and$SUM_TRIPS
columns; we now want to add distance information by merging withdistPair
;- First, we create a column
$od_no_intra
usingifelse()
to output 0 for intrazonal flows (e.g.$ORIGIN_HEX
==$DESTIN_HEX
) and$SUM_TRIPS
otherwise; - We then join
distPair
tood_data
by matching origin and destination
- First, we create a column
- Finally, we perform a quick glimpse using
$od_no_intra
to view that our filter for intrazonal flows is correct:
$od_no_intra <- ifelse(
od_data$ORIGIN_HEX == od_data$DESTIN_HEX,
od_data0, od_data$SUM_TRIPS)
# od_data$offset <- ifelse(
# od_data$ORIGIN_HEX == od_data$DESTIN_HEX,
# 0.000001, 1)
# od_data$ORIGIN_HEX <- as.factor(od_data$ORIGIN_HEX)
# od_data$DESTIN_HEX <- as.factor(od_data$DESTIN_HEX)
#
<- od_data %>%
od_data_distpair left_join (distPair,
by = c("ORIGIN_HEX" = "grid_id_from",
"DESTIN_HEX" = "grid_id_to"))
$od_no_intra == 0, ] od_data_distpair[od_data_distpair
# A tibble: 628 × 5
# Groups: ORIGIN_HEX [628]
ORIGIN_HEX DESTIN_HEX SUM_TRIPS od_no_intra dist
<int> <int> <dbl> <dbl> <dbl>
1 9 9 1 0 50
2 14 14 9 0 50
3 21 21 12 0 50
4 26 26 2 0 50
5 27 27 32 0 50
6 28 28 2 0 50
7 32 32 517 0 50
8 33 33 26 0 50
9 35 35 1 0 50
10 38 38 37 0 50
# ℹ 618 more rows
- Now, we create
inter_zonal_flow
by filtering out the intrazonal flows we have seen, and perform a quick histogram visualization usingggplot:
<- od_data_distpair %>%
inter_zonal_flow filter(od_no_intra > 0) %>%
select(ORIGIN_HEX, DESTIN_HEX, SUM_TRIPS, dist)
ggplot(data = inter_zonal_flow,
aes(x = dist,
y = SUM_TRIPS)) +
geom_point() +
ggtitle("Scatter Plot of Number of Trips by Trip Distance") +
xlab("Distance of Trips") +
ylab("Number of Trips")
- We see that once again, the data is extremely right-skewed and exhibits no visible patter. Taking a cue from earlier visualizations however, we can use the log scale;
- We use
geom_smooth()
to draw a smoothed line to observe the pattern, and indeed we see a negative correlation between the length (distance) of the trips and the number of trips.
- We use
ggplot(data = inter_zonal_flow,
aes(x = log(dist),
y = log(SUM_TRIPS))) +
geom_point() +
geom_smooth(method = lm) +
ggtitle("Scatter Plot Number of Trips by Trip Distance, log scale") +
xlab("log(Distance of Trips)") +
ylab("log(Number of Trips)")
- We perform a quick check to ensure there are no zero values before writing to RDS.
write_rds(inter_zonal_flow, "data/rds/inter_zonal_flow.rds")
summary(inter_zonal_flow)
3.4 Preparing three propulsive and three attractiveness variables
Over the next few sections, we will assemble the following explanatory variables for our spatial interaction model. We also note which section they will be handled in (if not stated, they will be addressed in Section 3.4A):
Propulsive variables:
- business_count, finserv_count: We assume in the weekday evenings, people will be leaving their offices or have concluded their businesses from financial services, which are often also closed in the evenings.
- MRT_EXIT_COUNT: (Section 3.4C) Based on above Map 2 (Section 2.2, 2.3) we see that most trips appear to originate from MRT stations. In all likelihood, MRT Stations can be both propulsive and attractive, but we choose to class it here, explaining as people using MRTs to transit to the desired leisure are.
Attractive variables:
- leisure_count, fnb_count, retail_count, entertainment_count: Using data from Prof Kam, we assume people will leave their workplace to seek out food, entertainment, leisure, or retail shops.
- hdb_count (Section 3.4B) Alternatively, people may be heading home after work.
3.4A Assembling Various Explanatory Variables
- Many of the below geospatial datasets have been prepared by Prof Kam, so the data is already cleaned, and the steps are largely uniform;
- Use
st_read()
to read in the geospatial dataset, and usest_transform()
to ensure it uses SVY21/CRS3414 - Create a new column using
lengths(st_intersects())
to count the number of such points in each hexagon grid.
- Use
- Here are the data preparation steps:
show code
<- read_rds("data/rds/hexagon_sf.rds")
hexagon_sf <- st_read(dsn = "data/geospatial",
business_sf layer = "Business") %>%
st_transform(crs = 3414)
Reading layer `Business' from data source
`C:\1darren\ISSS624\Take-home_Ex02\data\geospatial' using driver `ESRI Shapefile'
Simple feature collection with 6550 features and 3 fields
Geometry type: POINT
Dimension: XY
Bounding box: xmin: 3669.148 ymin: 25408.41 xmax: 47034.83 ymax: 50148.54
Projected CRS: SVY21 / Singapore TM
show code
$`BUSINESS_COUNT`<- lengths(
hexagon_sfst_intersects(
hexagon_sf, business_sf))summary(hexagon_sf$BUSINESS_COUNT)
Min. 1st Qu. Median Mean 3rd Qu. Max.
0.0 0.0 1.0 7.3 7.0 97.0
- Quick Visualization:
tmap_mode("plot")
tmap mode set to plotting
tm_shape(mpsz_sf) + tm_polygons() +
tm_shape(hexagon_sf) +
tm_borders() +
tm_fill(col = "BUSINESS_COUNT",
palette = "Greys",
style = "jenks")
Warning: The shape mpsz_sf is invalid. See sf::st_is_valid
show code
<- st_read(dsn = "data/geospatial",
entertn_sf layer = "entertn") %>%
st_transform(crs = 3414)
Reading layer `entertn' from data source
`C:\1darren\ISSS624\Take-home_Ex02\data\geospatial' using driver `ESRI Shapefile'
Simple feature collection with 114 features and 3 fields
Geometry type: POINT
Dimension: XY
Bounding box: xmin: 10809.34 ymin: 26528.63 xmax: 41600.62 ymax: 46375.77
Projected CRS: SVY21 / Singapore TM
show code
# st_crs(entertn_sf)
$`ENTERTAIN_COUNT`<- lengths(
hexagon_sfst_intersects(
hexagon_sf, entertn_sf))summary(hexagon_sf$ENTERTAIN_COUNT)
Min. 1st Qu. Median Mean 3rd Qu. Max.
0.0000 0.0000 0.0000 0.1336 0.0000 9.0000
- Quick Visualization:
tmap_mode("plot")
tmap mode set to plotting
tm_shape(mpsz_sf) + tm_polygons() +
tm_shape(hexagon_sf) +
tm_borders() +
tm_fill(col = "ENTERTAIN_COUNT",
palette = "Blues",
style = "jenks")
Warning: The shape mpsz_sf is invalid. See sf::st_is_valid
show code
<- st_read(dsn = "data/geospatial",
finserv_sf layer = "FinServ") %>%
st_transform(crs = 3414)
Reading layer `FinServ' from data source
`C:\1darren\ISSS624\Take-home_Ex02\data\geospatial' using driver `ESRI Shapefile'
Simple feature collection with 3320 features and 3 fields
Geometry type: POINT
Dimension: XY
Bounding box: xmin: 4881.527 ymin: 25171.88 xmax: 46526.16 ymax: 49338.02
Projected CRS: SVY21 / Singapore TM
show code
# st_crs(finserv_sf)
$`FINSERV_COUNT`<- lengths(
hexagon_sfst_intersects(
hexagon_sf, finserv_sf))summary(hexagon_sf$FINSERV_COUNT)
Min. 1st Qu. Median Mean 3rd Qu. Max.
0.000 0.000 1.000 3.936 4.000 139.000
- Quick Visualization:
tmap_mode("plot")
tmap mode set to plotting
tm_shape(mpsz_sf) + tm_polygons() +
tm_shape(hexagon_sf) +
tm_borders() +
tm_fill(col = "FINSERV_COUNT",
palette = "Greens",
style = "jenks")
Warning: The shape mpsz_sf is invalid. See sf::st_is_valid
show code
<- st_read(dsn = "data/geospatial",
fnb_sf layer = "F&B") %>%
st_transform(crs = 3414)
Reading layer `F&B' from data source
`C:\1darren\ISSS624\Take-home_Ex02\data\geospatial' using driver `ESRI Shapefile'
Simple feature collection with 1919 features and 3 fields
Geometry type: POINT
Dimension: XY
Bounding box: xmin: 6010.495 ymin: 25343.27 xmax: 45462.43 ymax: 48796.21
Projected CRS: SVY21 / Singapore TM
show code
# st_crs(fnb_sf)
$`FNB_COUNT`<- lengths(
hexagon_sfst_intersects(
hexagon_sf, fnb_sf))summary(hexagon_sf$FNB_COUNT)
Min. 1st Qu. Median Mean 3rd Qu. Max.
0.000 0.000 0.000 2.212 1.000 133.000
- Quick Visualization:
tmap_mode("plot")
tmap mode set to plotting
tm_shape(mpsz_sf) + tm_polygons() +
tm_shape(hexagon_sf) +
tm_borders() +
tm_fill(col = "FNB_COUNT",
palette = "Reds",
style = "jenks")
Warning: The shape mpsz_sf is invalid. See sf::st_is_valid
show code
<- st_read(dsn = "data/geospatial",
leisure_sf layer = "Liesure&Recreation") %>%
st_transform(crs = 3414)
Reading layer `Liesure&Recreation' from data source
`C:\1darren\ISSS624\Take-home_Ex02\data\geospatial' using driver `ESRI Shapefile'
Simple feature collection with 1217 features and 30 fields
Geometry type: POINT
Dimension: XY
Bounding box: xmin: 6010.495 ymin: 25134.28 xmax: 48439.77 ymax: 50078.88
Projected CRS: SVY21 / Singapore TM
show code
# st_crs(leisure_sf)
$`LEISURE_COUNT`<- lengths(
hexagon_sfst_intersects(
hexagon_sf, leisure_sf))summary(hexagon_sf$LEISURE_COUNT)
Min. 1st Qu. Median Mean 3rd Qu. Max.
0.000 0.000 0.000 1.312 1.000 41.000
- Quick Visualization:
tmap_mode("plot")
tmap mode set to plotting
tm_shape(mpsz_sf) + tm_polygons() +
tm_shape(hexagon_sf) +
tm_borders() +
tm_fill(col = "LEISURE_COUNT",
palette = "Purples",
style = "jenks")
Warning: The shape mpsz_sf is invalid. See sf::st_is_valid
show code
<- st_read(dsn = "data/geospatial",
retail_sf layer = "Retails") %>%
st_transform(crs = 3414)
Reading layer `Retails' from data source
`C:\1darren\ISSS624\Take-home_Ex02\data\geospatial' using driver `ESRI Shapefile'
Simple feature collection with 37635 features and 3 fields
Geometry type: POINT
Dimension: XY
Bounding box: xmin: 4737.982 ymin: 25171.88 xmax: 48265.04 ymax: 50135.28
Projected CRS: SVY21 / Singapore TM
show code
# st_crs(retail_sf)
$`RETAIL_COUNT`<- lengths(
hexagon_sfst_intersects(
hexagon_sf, retail_sf))summary(hexagon_sf$RETAIL_COUNT)
Min. 1st Qu. Median Mean 3rd Qu. Max.
0.0 1.0 8.0 44.2 37.0 1678.0
- Quick Visualization:
tmap_mode("plot")
tmap mode set to plotting
tm_shape(mpsz_sf) + tm_polygons() +
tm_shape(hexagon_sf) +
tm_borders() +
tm_fill(col = "RETAIL_COUNT",
palette = "Oranges",
style = "jenks")
Warning: The shape mpsz_sf is invalid. See sf::st_is_valid
- Originally, I had prepared a
leaflet
plot with multiple layers that combined all six preceding plots that you could thumb through. However, R/Quarto took too long to render and often crashed, so below is the code snippet to render the plot for your gratification, if you so enjoy.
show code
# tmap_mode("view")
#
# tm <- tm_shape(hexagon_sf, group="BUSINESS_COUNT") +
# tm_borders(group="BUSINESS_COUNT") +
# tm_fill(col = "BUSINESS_COUNT",
# palette = "Greys",
# style = "jenks",
# group="BUSINESS_COUNT") +
#
# tm_shape(hexagon_sf, group="ENTERTAIN_COUNT") +
# tm_borders(group="ENTERTAIN_COUNT") +
# tm_fill(col = "ENTERTAIN_COUNT",
# palette = "Blues",
# style = "jenks",
# group="ENTERTAIN_COUNT") +
#
# tm_shape(hexagon_sf, group="FINSERV_COUNT") +
# tm_borders(group="FINSERV_COUNT") +
# tm_fill(col = "FINSERV_COUNT",
# palette = "Greens",
# style = "jenks",
# group="FINSERV_COUNT") +
#
# tm_shape(hexagon_sf, group="FNB_COUNT") +
# tm_borders(group="FNB_COUNT") +
# tm_fill(col = "FNB_COUNT",
# palette = "Reds",
# style = "jenks",
# group="FNB_COUNT") +
#
# tm_shape(hexagon_sf, group="LEISURE_COUNT") +
# tm_borders(group="LEISURE_COUNT") +
# tm_fill(col = "LEISURE_COUNT",
# palette = "Purples",
# style = "jenks",
# group="LEISURE_COUNT") +
#
# tm_shape(hexagon_sf, group="RETAIL_COUNT ") +
# tm_borders(group="RETAIL_COUNT ") +
# tm_fill(col = "RETAIL_COUNT",
# palette = "Oranges",
# style = "jenks",
# group="RETAIL_COUNT")
#
#
# tm %>%
# tmap_leaflet() %>%
# hideGroup(c("FINSERV_COUNT", "FNB_COUNT",
# "ENTERTAIN_COUNT", "LEISURE_COUNT", "RETAIL_COUNT")) %>%
# addLayersControl(
# overlayGroups = c("BUSINESS_COUNT", "ENTERTAIN_COUNT", "FINSERV_COUNT",
# "FNB_COUNT", "LEISURE_COUNT", "RETAIL_COUNT"),
# options = layersControlOptions(collapsed = FALSE),
# position = "topleft"
# )
3.4B MRT Exit Data
- Here, we have a choice whether to use the geospatial dataset of MRT Train Station Exits data or the dataset of actual MRT Train Station Locations from LTA DataMall.
- Loading Train Station Exit Data is relatively straightfoward:
show code
<- st_read(dsn = "data/geospatial",
mrt_exit_sf layer = "Train_Station_Exit_Layer") %>%
st_transform(crs=3414)
Reading layer `Train_Station_Exit_Layer' from data source
`C:\1darren\ISSS624\Take-home_Ex02\data\geospatial' using driver `ESRI Shapefile'
Simple feature collection with 565 features and 2 fields
Geometry type: POINT
Dimension: XY
Bounding box: xmin: 6134.086 ymin: 27499.7 xmax: 45356.36 ymax: 47865.92
Projected CRS: SVY21
show code
# st_crs(mrt_exit_sf)
$`MRT_EXIT_COUNT`<- lengths(
hexagon_sfst_intersects(
hexagon_sf, mrt_exit_sf))summary(hexagon_sf$MRT_EXIT_COUNT)
Min. 1st Qu. Median Mean 3rd Qu. Max.
0.0000 0.0000 0.0000 0.6739 0.0000 13.0000
- However, attempting to read from LTA’s
RapidTransitSystemStation
fails somewhat;- There is incomplete or broken geometry in LTA’s original source file
- use st_make_valid() does not work, so I sourced wdpar::st_repair_geometry
wdpar source
, based onprepr
package to repair geometries - thereafter we need to coerce from EPSG9001 to SVY21 using
st_transform()
- Even so, we can compare the difference in the two datasets:
show code
library(wdpar)
<- st_read(dsn = "data/geospatial",
raw_mrt_sf layer = "RapidTransitSystemStation")
Reading layer `RapidTransitSystemStation' from data source
`C:\1darren\ISSS624\Take-home_Ex02\data\geospatial' using driver `ESRI Shapefile'
Warning in CPL_read_ogr(dsn, layer, query, as.character(options), quiet, : GDAL
Message 1: Non closed ring detected. To avoid accepting it, set the
OGR_GEOMETRY_ACCEPT_UNCLOSED_RING configuration option to NO
Simple feature collection with 220 features and 4 fields
Geometry type: POLYGON
Dimension: XY
Bounding box: xmin: 6068.209 ymin: 27478.44 xmax: 45377.5 ymax: 47913.58
Projected CRS: SVY21
show code
<- st_repair_geometry(raw_mrt_sf) %>%
mrt_sf st_transform(crs=3414)
st_crs(mrt_sf)
Coordinate Reference System:
User input: EPSG:3414
wkt:
PROJCRS["SVY21 / Singapore TM",
BASEGEOGCRS["SVY21",
DATUM["SVY21",
ELLIPSOID["WGS 84",6378137,298.257223563,
LENGTHUNIT["metre",1]]],
PRIMEM["Greenwich",0,
ANGLEUNIT["degree",0.0174532925199433]],
ID["EPSG",4757]],
CONVERSION["Singapore Transverse Mercator",
METHOD["Transverse Mercator",
ID["EPSG",9807]],
PARAMETER["Latitude of natural origin",1.36666666666667,
ANGLEUNIT["degree",0.0174532925199433],
ID["EPSG",8801]],
PARAMETER["Longitude of natural origin",103.833333333333,
ANGLEUNIT["degree",0.0174532925199433],
ID["EPSG",8802]],
PARAMETER["Scale factor at natural origin",1,
SCALEUNIT["unity",1],
ID["EPSG",8805]],
PARAMETER["False easting",28001.642,
LENGTHUNIT["metre",1],
ID["EPSG",8806]],
PARAMETER["False northing",38744.572,
LENGTHUNIT["metre",1],
ID["EPSG",8807]]],
CS[Cartesian,2],
AXIS["northing (N)",north,
ORDER[1],
LENGTHUNIT["metre",1]],
AXIS["easting (E)",east,
ORDER[2],
LENGTHUNIT["metre",1]],
USAGE[
SCOPE["Cadastre, engineering survey, topographic mapping."],
AREA["Singapore - onshore and offshore."],
BBOX[1.13,103.59,1.47,104.07]],
ID["EPSG",3414]]
show code
tmap_mode("plot")
tmap mode set to plotting
show code
# tmap_options(check.and.fix = TRUE)
tm_shape(mpsz_sf) +
tm_polygons() +
tm_shape(hexagon_sf) +
tm_polygons(col = "MRT_EXIT_COUNT", palette = "-Spectral") +
tm_shape(mrt_sf) +
tm_dots(col='red')
Warning: The shape mpsz_sf is invalid. See sf::st_is_valid
- We can see that the MRT Stations (red dots) appear largely to correspond with the MRT Exits (coloured, non-blue hexes.) We thus choose to use the MRT_EXIT_COUNT dataset, as it is a more logical interpretation of data flow
3.4C HDB Dataset
- We now draw from the “aspatial” HDB dataset, and use
colnames()
to examine the columns:
show code
<- read_csv("data/aspatial/hdb.csv") raw_hdb
New names:
Rows: 12442 Columns: 37
── Column specification
──────────────────────────────────────────────────────── Delimiter: "," chr
(18): blk_no, street, residential, commercial, market_hawker, miscellane... dbl
(19): ...1, max_floor_lvl, year_completed, total_dwelling_units, 1room_s...
ℹ Use `spec()` to retrieve the full column specification for this data. ℹ
Specify the column types or set `show_col_types = FALSE` to quiet this message.
• `` -> `...1`
show code
colnames(raw_hdb)
[1] "...1" "blk_no" "street"
[4] "max_floor_lvl" "year_completed" "residential"
[7] "commercial" "market_hawker" "miscellaneous"
[10] "multistorey_carpark" "precinct_pavilion" "bldg_contract_town"
[13] "total_dwelling_units" "1room_sold" "2room_sold"
[16] "3room_sold" "4room_sold" "5room_sold"
[19] "exec_sold" "multigen_sold" "studio_apartment_sold"
[22] "1room_rental" "2room_rental" "3room_rental"
[25] "other_room_rental" "lat" "lng"
[28] "building" "addr" "postal"
[31] "SUBZONE_NO" "SUBZONE_N" "SUBZONE_C"
[34] "PLN_AREA_N" "PLN_AREA_C" "REGION_N"
[37] "REGION_C"
- For our purposes, we need to use
$lat
and$lng
as geocordinates, and to filter by “$residential
= Y”
show code
<- raw_hdb %>%
raw_hdb filter(residential == "Y") %>%
select(
lat,
lng )<- st_as_sf(raw_hdb,
hdb_sf coords = c("lng", "lat"),
crs = 4326) %>%
st_transform(crs = 3414)
$`hdb_COUNT`<- lengths(
hexagon_sfst_intersects(
hexagon_sf, hdb_sf))summary(hexagon_sf$hdb_COUNT)
Min. 1st Qu. Median Mean 3rd Qu. Max.
0.00 0.00 0.00 12.19 22.00 82.00
- Now we perform a quick visualization:
show code
tmap_mode("plot")
tmap mode set to plotting
show code
tm_shape(mpsz_sf) +
tm_polygons() +
tm_shape(hexagon_sf) +
tm_polygons(col = "hdb_COUNT", palette = "-Spectral")
Warning: The shape mpsz_sf is invalid. See sf::st_is_valid
- Finally, let’s write
hexagon_sf
to rds
show code
write_rds(hexagon_sf, "data/rds/hexagon_features.rds")
4. Spatial Interactive Models
- To distinguish our
hexagon_sf
with added variables from the previoushexagon_sf
used above, we will load and call this onehex_variables_sf
- We read this from rds first:
<- read_rds("data/rds/inter_zonal_flow.rds")
inter_zonal_flow <- read_rds("data/rds/hexagon_features.rds") hex_variables_sf
4.1.P Propulsive Variables Count
- Now, we will need to combine our flow data with the origin/destination hexagons as in
inter_zonal_flow
;- First, we create
prop_df
, an aspatial dataframe with only propulsiveness variables;- We
select()
only the$grid_id
identifier columns with counts for$BUSINESS_COUNT
,$FINSERV_COUNT
and$MRT_EXIT_COUNT
, - We use
st_drop_geometry()
to remove the geospatial data
- We
- Next, we
left_join()
this to ourinter_zonal_flow
dataset- Since these are propulsive variables, we join this to the
$ORIGIN_HEX
- For ease of reading later, we rename these columns by adding a prefix
P_
for propulsive variables:
- Since these are propulsive variables, we join this to the
- First, we create
show code
<- hex_variables_sf %>%
prop_sf select(grid_id, BUSINESS_COUNT, FINSERV_COUNT, MRT_EXIT_COUNT) %>%
st_drop_geometry()
<- inter_zonal_flow %>%
inter_zonal_flow_prop left_join(prop_sf,
by = c("ORIGIN_HEX" = "grid_id")) %>%
rename(P_MRT_EXIT_COUNT = MRT_EXIT_COUNT,
P_FINSERV_COUNT = FINSERV_COUNT,
P_BUSINESS_COUNT = BUSINESS_COUNT)
inter_zonal_flow_prop
# A tibble: 67,737 × 7
# Groups: ORIGIN_HEX [813]
ORIGIN_HEX DESTIN_HEX SUM_TRIPS dist P_BUSINESS_COUNT P_FINSERV_COUNT
<int> <int> <dbl> <dbl> <int> <int>
1 1 7 3 1299. 0 0
2 1 9 34 3437. 0 0
3 1 16 182 1984. 0 0
4 1 20 18 6139. 0 0
5 1 22 6 8649. 0 0
6 1 23 1 2598. 0 0
7 1 28 1 8112. 0 0
8 1 32 145 7612. 0 0
9 2 5 2 1984. 5 0
10 2 9 4 2704. 5 0
# ℹ 67,727 more rows
# ℹ 1 more variable: P_MRT_EXIT_COUNT <int>
4.1.A Attractiveness Variables Count
- Similar to the above, we repeat the step for attractiveness variables by creating
attr_df
; - Repeat toselect()
only the$grid_id
identifier columns with counts for$ENTERTAIN_COUNT
,$FNB_COUNT
,$LEISURE_COUNT
,$RETAIL_COUNT
, and$hdb_COUNT
, - We usest_drop_geometry()
to remove the geospatial data- Next, we
left_join()
this to ourinter_zonal_flow_prop
dataset from the previous step- Since these are attractiveness variables, we join this to the
$DESTIN_HEX
- For ease of reading later, we rename these columns by adding a prefix
A_
for attractive variables:
- Since these are attractiveness variables, we join this to the
- Next, we
show code
<- hex_variables_sf %>%
attr_sf select(grid_id, ENTERTAIN_COUNT , FNB_COUNT, LEISURE_COUNT, RETAIL_COUNT, hdb_COUNT) %>%
st_drop_geometry()
<- inter_zonal_flow_prop %>%
SIM_data left_join(attr_sf,
by = c("DESTIN_HEX" = "grid_id")) %>%
rename(A_FNB_COUNT = FNB_COUNT,
A_ENTERTAIN_COUNT = ENTERTAIN_COUNT,
A_LEISURE_COUNT = LEISURE_COUNT,
A_RETAIL_COUNT = RETAIL_COUNT,
A_HDB_COUNT = hdb_COUNT)
SIM_data
# A tibble: 67,737 × 12
# Groups: ORIGIN_HEX [813]
ORIGIN_HEX DESTIN_HEX SUM_TRIPS dist P_BUSINESS_COUNT P_FINSERV_COUNT
<int> <int> <dbl> <dbl> <int> <int>
1 1 7 3 1299. 0 0
2 1 9 34 3437. 0 0
3 1 16 182 1984. 0 0
4 1 20 18 6139. 0 0
5 1 22 6 8649. 0 0
6 1 23 1 2598. 0 0
7 1 28 1 8112. 0 0
8 1 32 145 7612. 0 0
9 2 5 2 1984. 5 0
10 2 9 4 2704. 5 0
# ℹ 67,727 more rows
# ℹ 6 more variables: P_MRT_EXIT_COUNT <int>, A_ENTERTAIN_COUNT <int>,
# A_FNB_COUNT <int>, A_LEISURE_COUNT <int>, A_RETAIL_COUNT <int>,
# A_HDB_COUNT <int>
- Let’s perform a quick check to ensure no intra-zonal flow:
show code
$ORIGIN_HEX==SIM_data$DESTIN_HEX,] SIM_data[SIM_data
# A tibble: 0 × 12
# Groups: ORIGIN_HEX [0]
# ℹ 12 variables: ORIGIN_HEX <int>, DESTIN_HEX <int>, SUM_TRIPS <dbl>,
# dist <dbl>, P_BUSINESS_COUNT <int>, P_FINSERV_COUNT <int>,
# P_MRT_EXIT_COUNT <int>, A_ENTERTAIN_COUNT <int>, A_FNB_COUNT <int>,
# A_LEISURE_COUNT <int>, A_RETAIL_COUNT <int>, A_HDB_COUNT <int>
- Now, let’s examine the summary of our
SIM_data
:
show code
summary(SIM_data)
ORIGIN_HEX DESTIN_HEX SUM_TRIPS dist
Min. : 1.0 Min. : 1.0 Min. : 1 Min. : 750
1st Qu.:326.0 1st Qu.:322.0 1st Qu.: 8 1st Qu.: 3000
Median :489.0 Median :489.0 Median : 35 Median : 5662
Mean :476.2 Mean :476.8 Mean : 343 Mean : 6487
3rd Qu.:632.0 3rd Qu.:638.0 3rd Qu.: 159 3rd Qu.: 9124
Max. :831.0 Max. :831.0 Max. :77350 Max. :24784
P_BUSINESS_COUNT P_FINSERV_COUNT P_MRT_EXIT_COUNT A_ENTERTAIN_COUNT
Min. : 0.000 Min. : 0.000 Min. : 0.000 Min. :0.0000
1st Qu.: 0.000 1st Qu.: 1.000 1st Qu.: 0.000 1st Qu.:0.0000
Median : 1.000 Median : 3.000 Median : 0.000 Median :0.0000
Mean : 7.084 Mean : 8.518 Mean : 1.345 Mean :0.3151
3rd Qu.: 6.000 3rd Qu.: 9.000 3rd Qu.: 2.000 3rd Qu.:0.0000
Max. :97.000 Max. :139.000 Max. :13.000 Max. :9.0000
A_FNB_COUNT A_LEISURE_COUNT A_RETAIL_COUNT A_HDB_COUNT
Min. : 0.000 Min. : 0.000 Min. : 0.00 Min. : 0.00
1st Qu.: 0.000 1st Qu.: 0.000 1st Qu.: 7.00 1st Qu.: 0.00
Median : 0.000 Median : 1.000 Median : 28.00 Median : 8.00
Mean : 5.274 Mean : 2.229 Mean : 91.54 Mean :16.66
3rd Qu.: 2.000 3rd Qu.: 3.000 3rd Qu.: 99.00 3rd Qu.:29.00
Max. :133.000 Max. :41.000 Max. :1678.00 Max. :82.00
- There are hexagons with 0 values for counts, e.g. they contain 0 businesses, or 0 HDB blocks within.
- We will coerce all 0 values to 0.99 to avoid affecting the log values later.
show code
<- c("P_BUSINESS_COUNT", "P_FINSERV_COUNT", "P_MRT_EXIT_COUNT", "A_ENTERTAIN_COUNT", "A_FNB_COUNT", "A_LEISURE_COUNT", "A_RETAIL_COUNT", "A_HDB_COUNT")
replace_zeroes_columns
# Apply a function to replace 0 with 1 in specified columns
<- apply(SIM_data[, replace_zeroes_columns], 2, function(x) replace(x, x == 0, 0.99))
SIM_data[, replace_zeroes_columns]
summary(SIM_data)
ORIGIN_HEX DESTIN_HEX SUM_TRIPS dist
Min. : 1.0 Min. : 1.0 Min. : 1 Min. : 750
1st Qu.:326.0 1st Qu.:322.0 1st Qu.: 8 1st Qu.: 3000
Median :489.0 Median :489.0 Median : 35 Median : 5662
Mean :476.2 Mean :476.8 Mean : 343 Mean : 6487
3rd Qu.:632.0 3rd Qu.:638.0 3rd Qu.: 159 3rd Qu.: 9124
Max. :831.0 Max. :831.0 Max. :77350 Max. :24784
P_BUSINESS_COUNT P_FINSERV_COUNT P_MRT_EXIT_COUNT A_ENTERTAIN_COUNT
Min. : 0.990 Min. : 0.990 Min. : 0.990 Min. :0.990
1st Qu.: 0.990 1st Qu.: 1.000 1st Qu.: 0.990 1st Qu.:0.990
Median : 1.000 Median : 3.000 Median : 0.990 Median :0.990
Mean : 7.514 Mean : 8.754 Mean : 1.966 Mean :1.168
3rd Qu.: 6.000 3rd Qu.: 9.000 3rd Qu.: 2.000 3rd Qu.:0.990
Max. :97.000 Max. :139.000 Max. :13.000 Max. :9.000
A_FNB_COUNT A_LEISURE_COUNT A_RETAIL_COUNT A_HDB_COUNT
Min. : 0.990 Min. : 0.990 Min. : 0.99 Min. : 0.99
1st Qu.: 0.990 1st Qu.: 0.990 1st Qu.: 7.00 1st Qu.: 0.99
Median : 0.990 Median : 1.000 Median : 28.00 Median : 8.00
Mean : 5.809 Mean : 2.629 Mean : 91.61 Mean :17.02
3rd Qu.: 2.000 3rd Qu.: 3.000 3rd Qu.: 99.00 3rd Qu.:29.00
Max. :133.000 Max. :41.000 Max. :1678.00 Max. :82.00
- Finally, we convert
$ORIGIN_HEX
and$DESTIN_HEX
to factor, also for our modelling purposes later. - We write to RDS
show code
$ORIGIN_HEX <- as.factor(SIM_data$ORIGIN_HEX)
SIM_data$DESTIN_HEX <- as.factor(SIM_data$DESTIN_HEX)
SIM_data
write_rds(SIM_data,
"data/rds/SIM_data_tidy.rds")
4.2 Define R-Squared Function
- For estimating model goodness-of-fit later, we need to define
CalcRSquared()
to estimate the goodness-of-fit for our 4 models later:
show code
<- function(observed,estimated){
CalcRSquared <- cor(observed,estimated)
r <- r^2
R2
R2 }
- We’re finally ready to create our models.
4.3 uncSIM
: Unconstrained Spatial Interaction Model
- We use
glm()
to construct a general linear regression model with all our attractiveness and propulsiveness factors;
show code
<- readRDS("data/rds/SIM_data_tidy.rds")
SIM_data
<- glm(formula = SUM_TRIPS ~
uncSIM log(P_BUSINESS_COUNT) +
log(P_MRT_EXIT_COUNT) +
log(P_FINSERV_COUNT) +
log(A_ENTERTAIN_COUNT) +
log(A_FNB_COUNT) +
log(A_LEISURE_COUNT) +
log(A_RETAIL_COUNT) +
log(A_HDB_COUNT) +
log(dist),
family = poisson(link = "log"),
data = SIM_data,
na.action = na.exclude)
write_rds(uncSIM, "data/rds/uncSIM.rds")
- For memory reasons, we write- and read- the model to RDS to save space and time while rendering.
show code
<- read_rds("data/rds/uncSIM.rds")
uncSIM summary(uncSIM)
Call:
glm(formula = SUM_TRIPS ~ log(P_BUSINESS_COUNT) + log(P_MRT_EXIT_COUNT) +
log(P_FINSERV_COUNT) + log(A_ENTERTAIN_COUNT) + log(A_FNB_COUNT) +
log(A_LEISURE_COUNT) + log(A_RETAIL_COUNT) + log(A_HDB_COUNT) +
log(dist), family = poisson(link = "log"), data = SIM_data,
na.action = na.exclude)
Coefficients:
Estimate Std. Error z value Pr(>|z|)
(Intercept) 16.0445992 0.0019755 8121.94 <2e-16 ***
log(P_BUSINESS_COUNT) -0.0573406 0.0001767 -324.58 <2e-16 ***
log(P_MRT_EXIT_COUNT) 0.4522680 0.0003732 1212.02 <2e-16 ***
log(P_FINSERV_COUNT) 0.2345601 0.0002307 1016.84 <2e-16 ***
log(A_ENTERTAIN_COUNT) 0.1206693 0.0008320 145.04 <2e-16 ***
log(A_FNB_COUNT) -0.0178054 0.0003058 -58.23 <2e-16 ***
log(A_LEISURE_COUNT) -0.1029335 0.0003684 -279.43 <2e-16 ***
log(A_RETAIL_COUNT) 0.0876191 0.0001654 529.85 <2e-16 ***
log(A_HDB_COUNT) 0.3807339 0.0001680 2266.02 <2e-16 ***
log(dist) -1.4755033 0.0002538 -5813.31 <2e-16 ***
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
(Dispersion parameter for poisson family taken to be 1)
Null deviance: 92488055 on 67736 degrees of freedom
Residual deviance: 42931265 on 67727 degrees of freedom
AIC: 43301678
Number of Fisher Scoring iterations: 6
4.3c Commentary on uncSIM
- We can compare the size of the coefficients to assess the impact of the explanatory factors;
- The decay factor,
log(dist)
, is clearly a strong determinant of the number of trips, with -1.47 as a coefficient. This also reiterates some patterns seen earlier in some visualizations, namely, that greater distance results in fewer trips. MRT_EXIT_COUNT
andHDB_COUNT
have the highest coefficients (0.45, 0.38) among propulsiveness/attractiveness features, with the next closest beingFINSERV_COUNT
, validating some parts of our hypothesis.- However,
BUSINESS_COUNT
andFNB_COUNT
show extremely small (absolute value <0.06), negative values. It may be that they are outweighed by other factors, or perhaps are wrongly attributed.
- The decay factor,
show code
CalcRSquared(uncSIM$data$SUM_TRIPS, uncSIM$fitted.values)
[1] 0.3007902
- This R-squared of 0.30 is quite low, indicating the model doesn’t perform super great.
- With more time, I would have enjoyed testing this model for multicollinearity, or doing PCA and eliminating unimportant variables.
4.4 orcSIM
: Origin Constrained Spatial Interaction Model
- In the origin-constrained SIM, we regard each
$ORIGIN_HEX
as a unique factor (dummy variable), and only consider attractiveness variables;- The formula defined is similar to
uncSIM
above; - We add a constant (
-1
) to remove the intercept. - Here, we have to set
max.print()
to 10,000 in order to allow for us to view the entire variable set.
- The formula defined is similar to
show code
<- glm(formula = SUM_TRIPS ~
orcSIM +
ORIGIN_HEX log(A_ENTERTAIN_COUNT) +
log(A_FNB_COUNT) +
log(A_LEISURE_COUNT) +
log(A_RETAIL_COUNT) +
log(A_HDB_COUNT) +
log(dist) - 1,
family = poisson(link = "log"),
data = SIM_data,
na.action = na.exclude)
write_rds(orcSIM, "data/rds/orcSIM.rds")
show code
options(max.print = 10000)
<- read_rds("data/rds/orcSIM.rds")
orcSIM summary(orcSIM)
Call:
glm(formula = SUM_TRIPS ~ ORIGIN_HEX + log(A_ENTERTAIN_COUNT) +
log(A_FNB_COUNT) + log(A_LEISURE_COUNT) + log(A_RETAIL_COUNT) +
log(A_HDB_COUNT) + log(dist) - 1, family = poisson(link = "log"),
data = SIM_data, na.action = na.exclude)
Coefficients:
Estimate Std. Error z value Pr(>|z|)
ORIGIN_HEX1 15.5541813 0.0506773 306.93 <2e-16 ***
ORIGIN_HEX2 14.4152814 0.0936807 153.88 <2e-16 ***
ORIGIN_HEX3 14.7983388 0.0433942 341.02 <2e-16 ***
ORIGIN_HEX4 14.7171088 0.0581541 253.07 <2e-16 ***
ORIGIN_HEX5 16.5546043 0.0164325 1007.43 <2e-16 ***
ORIGIN_HEX6 14.6322293 0.0521621 280.51 <2e-16 ***
ORIGIN_HEX7 16.3164264 0.0229902 709.71 <2e-16 ***
ORIGIN_HEX8 15.3915638 0.0414567 371.27 <2e-16 ***
ORIGIN_HEX9 16.6421522 0.0138469 1201.87 <2e-16 ***
ORIGIN_HEX10 13.0900443 0.0808658 161.87 <2e-16 ***
ORIGIN_HEX11 15.3929914 0.0408011 377.27 <2e-16 ***
ORIGIN_HEX12 15.4431873 0.0350806 440.22 <2e-16 ***
ORIGIN_HEX13 16.1827566 0.0269469 600.54 <2e-16 ***
ORIGIN_HEX14 17.0960062 0.0114904 1487.86 <2e-16 ***
ORIGIN_HEX15 14.9782382 0.0321865 465.36 <2e-16 ***
ORIGIN_HEX16 16.1103990 0.0257452 625.76 <2e-16 ***
ORIGIN_HEX17 15.3528695 0.0769495 199.52 <2e-16 ***
ORIGIN_HEX18 16.3221851 0.0214934 759.40 <2e-16 ***
ORIGIN_HEX19 15.7767030 0.0201777 781.89 <2e-16 ***
ORIGIN_HEX20 16.0088339 0.0189615 844.28 <2e-16 ***
ORIGIN_HEX21 16.2522398 0.0148651 1093.31 <2e-16 ***
ORIGIN_HEX22 14.7963423 0.0458711 322.56 <2e-16 ***
ORIGIN_HEX23 16.6073174 0.0209833 791.45 <2e-16 ***
ORIGIN_HEX24 16.1720466 0.0323049 500.61 <2e-16 ***
ORIGIN_HEX25 16.0026335 0.0279370 572.81 <2e-16 ***
ORIGIN_HEX26 16.2967130 0.0152579 1068.08 <2e-16 ***
ORIGIN_HEX27 16.5059588 0.0109711 1504.50 <2e-16 ***
ORIGIN_HEX28 13.8307155 0.0415673 332.73 <2e-16 ***
ORIGIN_HEX29 16.4627856 0.0252271 652.58 <2e-16 ***
ORIGIN_HEX30 16.4295452 0.0403786 406.89 <2e-16 ***
ORIGIN_HEX31 16.0076482 0.0207283 772.26 <2e-16 ***
ORIGIN_HEX32 15.4489266 0.0175922 878.17 <2e-16 ***
ORIGIN_HEX33 16.7595516 0.0095522 1754.52 <2e-16 ***
ORIGIN_HEX34 16.4825701 0.0188600 873.95 <2e-16 ***
ORIGIN_HEX35 16.2563668 0.0137822 1179.52 <2e-16 ***
ORIGIN_HEX36 14.7074397 0.0521605 281.96 <2e-16 ***
ORIGIN_HEX37 16.1642421 0.0229443 704.50 <2e-16 ***
ORIGIN_HEX38 15.8300751 0.0148313 1067.35 <2e-16 ***
ORIGIN_HEX39 16.8962167 0.0100972 1673.35 <2e-16 ***
ORIGIN_HEX40 14.9744073 0.0465615 321.61 <2e-16 ***
ORIGIN_HEX41 15.4869932 0.0215622 718.25 <2e-16 ***
ORIGIN_HEX42 14.9234132 0.0427224 349.31 <2e-16 ***
ORIGIN_HEX43 16.3350777 0.0175764 929.38 <2e-16 ***
ORIGIN_HEX44 15.6157530 0.0181467 860.53 <2e-16 ***
ORIGIN_HEX45 16.4623630 0.0141788 1161.06 <2e-16 ***
ORIGIN_HEX46 16.8971467 0.0126554 1335.17 <2e-16 ***
ORIGIN_HEX47 16.0141794 0.0146997 1089.42 <2e-16 ***
ORIGIN_HEX48 16.3732383 0.0144622 1132.14 <2e-16 ***
ORIGIN_HEX49 12.8399695 0.1825829 70.32 <2e-16 ***
ORIGIN_HEX50 15.5343809 0.0200863 773.38 <2e-16 ***
ORIGIN_HEX51 15.2236925 0.0197126 772.28 <2e-16 ***
ORIGIN_HEX52 16.8454354 0.0169576 993.38 <2e-16 ***
ORIGIN_HEX53 16.1467796 0.0265825 607.42 <2e-16 ***
ORIGIN_HEX54 16.5648495 0.0164886 1004.62 <2e-16 ***
ORIGIN_HEX55 17.4065104 0.0150508 1156.52 <2e-16 ***
ORIGIN_HEX56 15.9962776 0.0163069 980.95 <2e-16 ***
ORIGIN_HEX57 16.3188213 0.0162374 1005.01 <2e-16 ***
ORIGIN_HEX58 17.0259822 0.0137856 1235.06 <2e-16 ***
ORIGIN_HEX59 17.0553971 0.0097067 1757.07 <2e-16 ***
ORIGIN_HEX60 16.9236819 0.0101670 1664.57 <2e-16 ***
ORIGIN_HEX61 16.0781618 0.0158938 1011.60 <2e-16 ***
ORIGIN_HEX62 17.2828485 0.0137558 1256.40 <2e-16 ***
ORIGIN_HEX63 16.7323040 0.0179349 932.94 <2e-16 ***
ORIGIN_HEX64 17.4036876 0.0126165 1379.44 <2e-16 ***
ORIGIN_HEX65 17.2645476 0.0046925 3679.15 <2e-16 ***
ORIGIN_HEX66 17.2635434 0.0086226 2002.12 <2e-16 ***
ORIGIN_HEX67 18.1112804 0.0049933 3627.09 <2e-16 ***
ORIGIN_HEX68 14.3550746 0.0435206 329.85 <2e-16 ***
ORIGIN_HEX69 16.8294953 0.0093489 1800.15 <2e-16 ***
ORIGIN_HEX70 14.4779777 0.0195089 742.12 <2e-16 ***
ORIGIN_HEX71 17.1121679 0.0079540 2151.39 <2e-16 ***
ORIGIN_HEX72 15.7987046 0.0196474 804.11 <2e-16 ***
ORIGIN_HEX73 15.6406753 0.0273198 572.50 <2e-16 ***
ORIGIN_HEX74 15.2263834 0.0206199 738.43 <2e-16 ***
ORIGIN_HEX75 16.2067296 0.0116207 1394.64 <2e-16 ***
ORIGIN_HEX76 15.5726980 0.0103593 1503.27 <2e-16 ***
ORIGIN_HEX77 15.9269946 0.0109498 1454.55 <2e-16 ***
ORIGIN_HEX79 16.5565089 0.0115202 1437.17 <2e-16 ***
ORIGIN_HEX80 15.7381901 0.0096167 1636.55 <2e-16 ***
ORIGIN_HEX81 16.2276217 0.0068261 2377.28 <2e-16 ***
ORIGIN_HEX82 16.7499141 0.0112506 1488.80 <2e-16 ***
ORIGIN_HEX84 15.7349926 0.0262743 598.87 <2e-16 ***
ORIGIN_HEX85 12.6612722 0.1250153 101.28 <2e-16 ***
ORIGIN_HEX86 16.3775167 0.0090894 1801.83 <2e-16 ***
ORIGIN_HEX87 15.1122473 0.0106365 1420.79 <2e-16 ***
ORIGIN_HEX88 14.4368204 0.0380441 379.48 <2e-16 ***
ORIGIN_HEX89 15.4119762 0.0262374 587.40 <2e-16 ***
ORIGIN_HEX90 16.4553721 0.0130142 1264.42 <2e-16 ***
ORIGIN_HEX91 17.2155019 0.0091965 1871.95 <2e-16 ***
ORIGIN_HEX92 15.7139307 0.0088165 1782.34 <2e-16 ***
ORIGIN_HEX93 16.4103143 0.0054315 3021.32 <2e-16 ***
ORIGIN_HEX94 16.7061363 0.0089930 1857.69 <2e-16 ***
ORIGIN_HEX95 16.3342743 0.0132933 1228.77 <2e-16 ***
ORIGIN_HEX96 13.4001073 0.0725754 184.64 <2e-16 ***
ORIGIN_HEX97 15.2972997 0.0324687 471.14 <2e-16 ***
ORIGIN_HEX98 16.9418398 0.0081697 2073.74 <2e-16 ***
ORIGIN_HEX99 15.9347339 0.0100851 1580.04 <2e-16 ***
ORIGIN_HEX100 17.1373414 0.0039043 4389.40 <2e-16 ***
ORIGIN_HEX101 16.4539018 0.0057850 2844.24 <2e-16 ***
ORIGIN_HEX102 15.7625202 0.0158634 993.64 <2e-16 ***
ORIGIN_HEX103 14.0748809 0.0516794 272.35 <2e-16 ***
ORIGIN_HEX104 14.4217069 0.0516819 279.05 <2e-16 ***
ORIGIN_HEX105 12.1259400 1.0000024 12.13 <2e-16 ***
ORIGIN_HEX106 15.4307461 0.0239294 644.85 <2e-16 ***
ORIGIN_HEX107 16.8948648 0.0129723 1302.38 <2e-16 ***
ORIGIN_HEX108 15.2516382 0.0105118 1450.91 <2e-16 ***
ORIGIN_HEX109 15.8870710 0.0064983 2444.79 <2e-16 ***
ORIGIN_HEX110 16.6404421 0.0085771 1940.10 <2e-16 ***
ORIGIN_HEX111 14.5453734 0.0562075 258.78 <2e-16 ***
ORIGIN_HEX112 16.4412044 0.0167068 984.10 <2e-16 ***
ORIGIN_HEX114 14.9636514 0.0394225 379.57 <2e-16 ***
ORIGIN_HEX115 16.1102321 0.0155802 1034.02 <2e-16 ***
ORIGIN_HEX116 14.7656183 0.0334277 441.72 <2e-16 ***
ORIGIN_HEX117 18.6283320 0.0024498 7603.94 <2e-16 ***
ORIGIN_HEX118 16.0488744 0.0064538 2486.74 <2e-16 ***
ORIGIN_HEX119 12.7656725 0.1015589 125.70 <2e-16 ***
ORIGIN_HEX120 16.0382112 0.0307583 521.43 <2e-16 ***
ORIGIN_HEX121 13.7343146 0.1740932 78.89 <2e-16 ***
ORIGIN_HEX122 15.4422561 0.0373776 413.14 <2e-16 ***
ORIGIN_HEX123 14.8881483 0.0277391 536.72 <2e-16 ***
ORIGIN_HEX124 15.9417817 0.0166317 958.52 <2e-16 ***
ORIGIN_HEX125 16.6526066 0.0062593 2660.47 <2e-16 ***
ORIGIN_HEX126 15.8849571 0.0060543 2623.76 <2e-16 ***
ORIGIN_HEX127 14.8259643 0.0257583 575.58 <2e-16 ***
ORIGIN_HEX128 14.8290452 0.0568428 260.88 <2e-16 ***
ORIGIN_HEX129 14.9314984 0.0494306 302.07 <2e-16 ***
ORIGIN_HEX130 15.0750365 0.0183878 819.84 <2e-16 ***
ORIGIN_HEX131 16.1518732 0.0100977 1599.57 <2e-16 ***
ORIGIN_HEX132 15.1827832 0.0126047 1204.53 <2e-16 ***
ORIGIN_HEX133 16.1970378 0.0056168 2883.70 <2e-16 ***
ORIGIN_HEX134 15.7461644 0.0158447 993.78 <2e-16 ***
ORIGIN_HEX135 15.7931274 0.0119752 1318.82 <2e-16 ***
ORIGIN_HEX136 16.0968373 0.0054484 2954.43 <2e-16 ***
ORIGIN_HEX137 16.6375807 0.0078933 2107.80 <2e-16 ***
ORIGIN_HEX138 16.2195277 0.0063195 2566.57 <2e-16 ***
ORIGIN_HEX139 15.8528940 0.0069213 2290.46 <2e-16 ***
ORIGIN_HEX140 16.6124403 0.0044431 3738.90 <2e-16 ***
ORIGIN_HEX141 16.5809452 0.0098503 1683.30 <2e-16 ***
ORIGIN_HEX142 16.5029380 0.0116145 1420.89 <2e-16 ***
ORIGIN_HEX143 14.4408746 0.0219819 656.94 <2e-16 ***
ORIGIN_HEX144 16.5096568 0.0051475 3207.30 <2e-16 ***
ORIGIN_HEX145 17.6650237 0.0030455 5800.29 <2e-16 ***
ORIGIN_HEX146 14.7273351 0.0155592 946.53 <2e-16 ***
ORIGIN_HEX147 16.1502746 0.0100954 1599.77 <2e-16 ***
ORIGIN_HEX148 15.9580362 0.0071866 2220.51 <2e-16 ***
ORIGIN_HEX149 15.0226016 0.0117241 1281.34 <2e-16 ***
ORIGIN_HEX150 16.3985093 0.0048579 3375.64 <2e-16 ***
ORIGIN_HEX151 16.2447573 0.0109133 1488.53 <2e-16 ***
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ORIGIN_HEX215 15.5972534 0.0096120 1622.68 <2e-16 ***
ORIGIN_HEX216 15.2541788 0.0104752 1456.22 <2e-16 ***
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ORIGIN_HEX729 15.4753286 0.0098431 1572.20 <2e-16 ***
ORIGIN_HEX730 15.1635727 0.0088125 1720.69 <2e-16 ***
ORIGIN_HEX731 15.7013788 0.0062905 2496.04 <2e-16 ***
ORIGIN_HEX732 16.1462707 0.0068537 2355.86 <2e-16 ***
ORIGIN_HEX733 16.1208076 0.0059129 2726.36 <2e-16 ***
ORIGIN_HEX734 15.9851282 0.0064771 2467.95 <2e-16 ***
ORIGIN_HEX735 16.1484825 0.0061655 2619.18 <2e-16 ***
ORIGIN_HEX736 15.9971213 0.0062366 2565.03 <2e-16 ***
ORIGIN_HEX737 15.9261245 0.0054299 2933.05 <2e-16 ***
ORIGIN_HEX738 16.4316129 0.0046452 3537.30 <2e-16 ***
ORIGIN_HEX739 16.6775419 0.0046187 3610.91 <2e-16 ***
ORIGIN_HEX740 16.0617300 0.0057464 2795.07 <2e-16 ***
ORIGIN_HEX741 16.7517304 0.0049004 3418.45 <2e-16 ***
ORIGIN_HEX742 13.6155569 0.0261624 520.42 <2e-16 ***
ORIGIN_HEX743 16.1923891 0.0077883 2079.06 <2e-16 ***
ORIGIN_HEX744 16.0789772 0.0052294 3074.74 <2e-16 ***
ORIGIN_HEX745 16.6413743 0.0040875 4071.32 <2e-16 ***
ORIGIN_HEX746 15.7209684 0.0062758 2505.02 <2e-16 ***
ORIGIN_HEX747 14.2684287 0.0157538 905.71 <2e-16 ***
ORIGIN_HEX748 16.6297121 0.0047747 3482.89 <2e-16 ***
ORIGIN_HEX749 15.1936616 0.0105982 1433.61 <2e-16 ***
ORIGIN_HEX750 15.7849502 0.0063597 2482.03 <2e-16 ***
ORIGIN_HEX751 14.6705966 0.0254183 577.17 <2e-16 ***
ORIGIN_HEX752 16.8060561 0.0036245 4636.85 <2e-16 ***
ORIGIN_HEX753 15.4828185 0.0082476 1877.26 <2e-16 ***
ORIGIN_HEX754 15.6146508 0.0071249 2191.57 <2e-16 ***
ORIGIN_HEX755 14.3485810 0.0213622 671.68 <2e-16 ***
ORIGIN_HEX756 15.8375779 0.0071391 2218.44 <2e-16 ***
ORIGIN_HEX757 15.1632393 0.0088993 1703.87 <2e-16 ***
ORIGIN_HEX758 15.2312430 0.0218371 697.50 <2e-16 ***
ORIGIN_HEX759 18.1156078 0.0025308 7157.96 <2e-16 ***
ORIGIN_HEX760 15.6229497 0.0108638 1438.08 <2e-16 ***
ORIGIN_HEX761 15.7513291 0.0072722 2165.95 <2e-16 ***
ORIGIN_HEX762 15.3340021 0.0098733 1553.08 <2e-16 ***
ORIGIN_HEX763 16.9791120 0.0040689 4172.91 <2e-16 ***
ORIGIN_HEX764 16.5072512 0.0048485 3404.63 <2e-16 ***
ORIGIN_HEX765 15.5562128 0.0061220 2541.02 <2e-16 ***
ORIGIN_HEX766 14.9536473 0.0100610 1486.30 <2e-16 ***
ORIGIN_HEX767 17.7881265 0.0029059 6121.43 <2e-16 ***
ORIGIN_HEX768 13.6339912 0.0459226 296.89 <2e-16 ***
ORIGIN_HEX769 15.0829802 0.0533502 282.72 <2e-16 ***
ORIGIN_HEX770 14.8424085 0.0124908 1188.26 <2e-16 ***
ORIGIN_HEX771 16.5894260 0.0048607 3413.00 <2e-16 ***
ORIGIN_HEX772 16.6897125 0.0045271 3686.61 <2e-16 ***
ORIGIN_HEX773 15.9195556 0.0053511 2975.02 <2e-16 ***
ORIGIN_HEX774 14.8354777 0.0117247 1265.32 <2e-16 ***
ORIGIN_HEX775 13.2899714 0.0422601 314.48 <2e-16 ***
ORIGIN_HEX776 14.9241836 0.0161185 925.90 <2e-16 ***
ORIGIN_HEX777 15.5949911 0.0081470 1914.19 <2e-16 ***
ORIGIN_HEX778 16.1127234 0.0048516 3321.11 <2e-16 ***
ORIGIN_HEX779 15.9211152 0.0067108 2372.46 <2e-16 ***
ORIGIN_HEX780 15.9763576 0.0062331 2563.16 <2e-16 ***
ORIGIN_HEX781 15.9101536 0.0114539 1389.06 <2e-16 ***
ORIGIN_HEX782 15.2796255 0.0107441 1422.14 <2e-16 ***
ORIGIN_HEX783 15.8567223 0.0067617 2345.07 <2e-16 ***
ORIGIN_HEX784 16.8615733 0.0035966 4688.24 <2e-16 ***
ORIGIN_HEX785 16.2037328 0.0054026 2999.27 <2e-16 ***
ORIGIN_HEX786 15.4577135 0.0092187 1676.78 <2e-16 ***
ORIGIN_HEX787 16.3060887 0.0058346 2794.70 <2e-16 ***
ORIGIN_HEX788 15.2959826 0.0096635 1582.86 <2e-16 ***
ORIGIN_HEX789 15.3756935 0.0071566 2148.47 <2e-16 ***
ORIGIN_HEX790 15.7280326 0.0075081 2094.82 <2e-16 ***
ORIGIN_HEX791 16.8510182 0.0064620 2607.70 <2e-16 ***
ORIGIN_HEX792 15.3150214 0.0105104 1457.14 <2e-16 ***
ORIGIN_HEX793 15.9744874 0.0064437 2479.10 <2e-16 ***
ORIGIN_HEX794 16.1439897 0.0056080 2878.76 <2e-16 ***
ORIGIN_HEX795 14.9709328 0.0323008 463.49 <2e-16 ***
ORIGIN_HEX796 16.9179992 0.0159344 1061.73 <2e-16 ***
ORIGIN_HEX797 16.5282875 0.0081208 2035.31 <2e-16 ***
ORIGIN_HEX798 16.7842726 0.0083424 2011.92 <2e-16 ***
ORIGIN_HEX799 15.7338981 0.0078687 1999.56 <2e-16 ***
ORIGIN_HEX800 15.5094201 0.0087009 1782.50 <2e-16 ***
ORIGIN_HEX801 16.2392235 0.0131812 1232.00 <2e-16 ***
ORIGIN_HEX802 16.8137094 0.0108277 1552.85 <2e-16 ***
ORIGIN_HEX803 15.6780800 0.0116388 1347.05 <2e-16 ***
ORIGIN_HEX804 13.8189188 0.0218002 633.89 <2e-16 ***
ORIGIN_HEX805 15.7791629 0.0141022 1118.92 <2e-16 ***
ORIGIN_HEX806 15.8497954 0.0165873 955.53 <2e-16 ***
ORIGIN_HEX807 14.5509838 0.0224644 647.74 <2e-16 ***
ORIGIN_HEX808 16.4084085 0.0060369 2718.03 <2e-16 ***
ORIGIN_HEX809 16.2721738 0.0132687 1226.36 <2e-16 ***
ORIGIN_HEX810 15.7827309 0.0221210 713.47 <2e-16 ***
ORIGIN_HEX811 14.9404033 0.0194242 769.16 <2e-16 ***
ORIGIN_HEX812 15.1416778 0.0122307 1238.01 <2e-16 ***
ORIGIN_HEX813 13.9506352 0.0488351 285.67 <2e-16 ***
ORIGIN_HEX814 17.1176104 0.0070398 2431.56 <2e-16 ***
ORIGIN_HEX815 14.7964780 0.0243848 606.79 <2e-16 ***
ORIGIN_HEX816 15.4740922 0.0114649 1349.69 <2e-16 ***
ORIGIN_HEX817 15.8603261 0.0119717 1324.82 <2e-16 ***
ORIGIN_HEX818 17.0952230 0.0062551 2733.02 <2e-16 ***
ORIGIN_HEX819 16.4138039 0.0086289 1902.18 <2e-16 ***
ORIGIN_HEX820 17.0274479 0.0159329 1068.70 <2e-16 ***
ORIGIN_HEX821 17.7145983 0.0052424 3379.08 <2e-16 ***
ORIGIN_HEX822 15.3963800 0.0130352 1181.14 <2e-16 ***
ORIGIN_HEX823 17.0122543 0.0073230 2323.12 <2e-16 ***
ORIGIN_HEX824 14.4492388 0.0277319 521.03 <2e-16 ***
ORIGIN_HEX825 16.5445292 0.0214830 770.12 <2e-16 ***
ORIGIN_HEX826 17.1605775 0.0071785 2390.56 <2e-16 ***
ORIGIN_HEX827 17.6695805 0.0054847 3221.64 <2e-16 ***
ORIGIN_HEX828 15.9249363 0.0143596 1109.01 <2e-16 ***
ORIGIN_HEX829 16.9658848 0.0133918 1266.89 <2e-16 ***
ORIGIN_HEX830 17.0590856 0.0084727 2013.42 <2e-16 ***
ORIGIN_HEX831 16.9471228 0.0258786 654.87 <2e-16 ***
log(A_ENTERTAIN_COUNT) 0.1353021 0.0008526 158.70 <2e-16 ***
log(A_FNB_COUNT) 0.0564351 0.0003153 178.98 <2e-16 ***
log(A_LEISURE_COUNT) -0.0512839 0.0003726 -137.63 <2e-16 ***
log(A_RETAIL_COUNT) 0.1188308 0.0001777 668.88 <2e-16 ***
log(A_HDB_COUNT) 0.3676924 0.0001778 2067.77 <2e-16 ***
log(dist) -1.4658504 0.0002628 -5577.59 <2e-16 ***
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
(Dispersion parameter for poisson family taken to be 1)
Null deviance: 317392316 on 67737 degrees of freedom
Residual deviance: 32603657 on 66918 degrees of freedom
AIC: 32975688
Number of Fisher Scoring iterations: 8
- In case R/Quarto crashes, we add a copy of relevant coefficient readouts here:
Coefficients:
Estimate Std. Error z value Pr(>|z|)
log(A_ENTERTAIN_COUNT) 0.1353021 0.0008526 158.70 <2e-16 ***
log(A_FNB_COUNT) 0.0564351 0.0003153 178.98 <2e-16 ***
log(A_LEISURE_COUNT) -0.0512839 0.0003726 -137.63 <2e-16 ***
log(A_RETAIL_COUNT) 0.1188308 0.0001777 668.88 <2e-16 ***
log(A_HDB_COUNT) 0.3676924 0.0001778 2067.77 <2e-16 ***
log(dist) -1.4658504 0.0002628 -5577.59 <2e-16 ***
4.4c Commentary on orcSIM
- Once again, we compare the size of the coefficients to assess the impact of the explanatory factors;
- The decay factor,
log(dist)
, is clearly a strong determinant of the number of trips, with -1.47 as a coefficient. This also reiterates some patterns seen earlier in some visualizations, namely, that greater distance results in fewer trips. MRT_EXIT_COUNT
andHDB_COUNT
have the highest coefficients (0.45, 0.38) among propulsiveness/attractiveness features, with the next closest beingFINSERV_COUNT
, validating some parts of our hypothesis.- However,
BUSINESS_COUNT
andFNB_COUNT
show extremely small (absolute value <0.06), negative values. It may be that they are outweighed by other factors, or perhaps are wrongly attributed.
- The decay factor,
show code
CalcRSquared(orcSIM$data$SUM_TRIPS, orcSIM$fitted.values)
[1] 0.4566753
- This R-squared of 0.45 is higher than for our unconstrained
uncSIM
model, however it is still relatively low.
4.5 decSIM
Destination Constrained Spatial Interaction Model
- In the destination-constrained SIM, we regard each
$DESTIN_HEX
as a unique factor (dummy variable), and only consider propulsiveness variables;- The formula defined is similar to
decSIM
above; - We add a constant (
-1
) to remove the intercept.
- The formula defined is similar to
show code
<- glm(formula = SUM_TRIPS ~
decSIM +
DESTIN_HEX log(P_BUSINESS_COUNT) +
log(P_MRT_EXIT_COUNT) +
log(P_FINSERV_COUNT) +
log(dist) - 1,
family = poisson(link = "log"),
data = SIM_data,
na.action = na.exclude)
write_rds(decSIM, "data/rds/decSIM.rds")
- As before, we read/write to RDS to save space/time.
show code
options(max.print = 10000)
<- read_rds("data/rds/decSIM.rds")
decSIM summary(decSIM)
Call:
glm(formula = SUM_TRIPS ~ DESTIN_HEX + log(P_BUSINESS_COUNT) +
log(P_MRT_EXIT_COUNT) + log(P_FINSERV_COUNT) + log(dist) -
1, family = poisson(link = "log"), data = SIM_data, na.action = na.exclude)
Coefficients:
Estimate Std. Error z value Pr(>|z|)
DESTIN_HEX1 16.6212048 0.0864150 192.34 <2e-16 ***
DESTIN_HEX2 16.1842671 0.0754079 214.62 <2e-16 ***
DESTIN_HEX3 16.6626085 0.0381554 436.70 <2e-16 ***
DESTIN_HEX4 15.4752075 0.0860897 179.76 <2e-16 ***
DESTIN_HEX5 16.0593283 0.0241106 666.07 <2e-16 ***
DESTIN_HEX6 16.8459566 0.0260748 646.06 <2e-16 ***
DESTIN_HEX7 15.1817025 0.0602218 252.10 <2e-16 ***
DESTIN_HEX8 13.6413784 0.1961257 69.55 <2e-16 ***
DESTIN_HEX9 15.9505329 0.0198014 805.52 <2e-16 ***
DESTIN_HEX10 15.9281536 0.0506721 314.34 <2e-16 ***
DESTIN_HEX11 11.0994169 0.5773533 19.23 <2e-16 ***
DESTIN_HEX12 14.7317025 0.0864105 170.49 <2e-16 ***
DESTIN_HEX13 12.5472911 0.2672680 46.95 <2e-16 ***
DESTIN_HEX14 17.7243359 0.0097923 1810.03 <2e-16 ***
DESTIN_HEX15 13.5096996 0.0873915 154.59 <2e-16 ***
DESTIN_HEX16 17.8417500 0.0141882 1257.51 <2e-16 ***
DESTIN_HEX17 11.2543339 0.4082524 27.57 <2e-16 ***
DESTIN_HEX18 15.2478829 0.0700447 217.69 <2e-16 ***
DESTIN_HEX19 15.1465397 0.0327549 462.42 <2e-16 ***
DESTIN_HEX20 15.4641199 0.0436455 354.31 <2e-16 ***
DESTIN_HEX21 14.4769826 0.0423746 341.64 <2e-16 ***
DESTIN_HEX22 18.3129458 0.0069046 2652.30 <2e-16 ***
DESTIN_HEX23 16.2636053 0.0338007 481.16 <2e-16 ***
DESTIN_HEX24 15.6098294 0.0483244 323.02 <2e-16 ***
DESTIN_HEX25 15.1873461 0.0541058 280.70 <2e-16 ***
DESTIN_HEX26 15.2936182 0.0388820 393.33 <2e-16 ***
DESTIN_HEX27 14.3662260 0.0499736 287.48 <2e-16 ***
DESTIN_HEX28 15.0253778 0.0301156 498.92 <2e-16 ***
DESTIN_HEX29 15.4204172 0.0432311 356.70 <2e-16 ***
DESTIN_HEX30 15.3897102 0.1111299 138.48 <2e-16 ***
DESTIN_HEX31 15.3675222 0.0452563 339.57 <2e-16 ***
DESTIN_HEX32 17.7146846 0.0076344 2320.36 <2e-16 ***
DESTIN_HEX33 15.0550310 0.0319812 470.75 <2e-16 ***
DESTIN_HEX34 12.0271775 0.2182250 55.11 <2e-16 ***
DESTIN_HEX35 14.7736517 0.0356054 414.93 <2e-16 ***
DESTIN_HEX36 13.8922043 0.1020795 136.09 <2e-16 ***
DESTIN_HEX37 15.4146157 0.0731542 210.71 <2e-16 ***
DESTIN_HEX38 18.2318696 0.0064401 2830.99 <2e-16 ***
DESTIN_HEX39 16.0731584 0.0199828 804.35 <2e-16 ***
DESTIN_HEX40 12.9403789 0.1507664 85.83 <2e-16 ***
DESTIN_HEX41 14.3190473 0.0456356 313.77 <2e-16 ***
DESTIN_HEX42 14.5588776 0.1091267 133.41 <2e-16 ***
DESTIN_HEX43 14.7095828 0.0511967 287.31 <2e-16 ***
DESTIN_HEX44 15.5866433 0.0270340 576.56 <2e-16 ***
DESTIN_HEX45 15.8242928 0.0305442 518.08 <2e-16 ***
DESTIN_HEX46 15.4685493 0.0424854 364.09 <2e-16 ***
DESTIN_HEX47 14.7210738 0.0357619 411.64 <2e-16 ***
DESTIN_HEX48 15.0972895 0.0410049 368.18 <2e-16 ***
DESTIN_HEX49 11.9112255 1.0000023 11.91 <2e-16 ***
DESTIN_HEX50 14.7598223 0.0478190 308.66 <2e-16 ***
DESTIN_HEX51 17.8545751 0.0087071 2050.57 <2e-16 ***
DESTIN_HEX52 14.6069138 0.0588493 248.21 <2e-16 ***
DESTIN_HEX53 15.7886177 0.0880677 179.28 <2e-16 ***
DESTIN_HEX54 15.9118331 0.0464667 342.44 <2e-16 ***
DESTIN_HEX55 16.8918570 0.0249471 677.11 <2e-16 ***
DESTIN_HEX56 15.3641609 0.0349933 439.06 <2e-16 ***
DESTIN_HEX57 16.0018120 0.0296675 539.37 <2e-16 ***
DESTIN_HEX58 15.0012087 0.0375212 399.81 <2e-16 ***
DESTIN_HEX59 16.0039445 0.0247169 647.49 <2e-16 ***
DESTIN_HEX60 15.3467719 0.0270910 566.49 <2e-16 ***
DESTIN_HEX61 15.1553990 0.0349284 433.90 <2e-16 ***
DESTIN_HEX62 15.3506485 0.0377311 406.84 <2e-16 ***
DESTIN_HEX63 16.0843892 0.0381697 421.39 <2e-16 ***
DESTIN_HEX64 14.8485648 0.0502228 295.65 <2e-16 ***
DESTIN_HEX65 19.0693394 0.0034429 5538.76 <2e-16 ***
DESTIN_HEX66 17.2440732 0.0173605 993.30 <2e-16 ***
DESTIN_HEX67 17.7483657 0.0104980 1690.65 <2e-16 ***
DESTIN_HEX68 13.9438552 0.0848384 164.36 <2e-16 ***
DESTIN_HEX69 14.5945759 0.0347800 419.63 <2e-16 ***
DESTIN_HEX70 15.5293107 0.0207773 747.42 <2e-16 ***
DESTIN_HEX71 15.7783862 0.0239390 659.11 <2e-16 ***
DESTIN_HEX72 17.5710236 0.0166978 1052.29 <2e-16 ***
DESTIN_HEX73 15.5028253 0.0578665 267.91 <2e-16 ***
DESTIN_HEX74 14.5148219 0.0535613 271.00 <2e-16 ***
DESTIN_HEX75 15.4188189 0.0283689 543.51 <2e-16 ***
DESTIN_HEX76 17.9382147 0.0070426 2547.10 <2e-16 ***
DESTIN_HEX77 16.8997632 0.0130441 1295.59 <2e-16 ***
DESTIN_HEX79 15.7617602 0.0270995 581.62 <2e-16 ***
DESTIN_HEX80 15.9492496 0.0168821 944.74 <2e-16 ***
DESTIN_HEX81 18.5467785 0.0045276 4096.42 <2e-16 ***
DESTIN_HEX82 17.3153478 0.0123827 1398.36 <2e-16 ***
DESTIN_HEX84 14.8070960 0.0596850 248.09 <2e-16 ***
DESTIN_HEX85 15.0350465 0.0962465 156.21 <2e-16 ***
DESTIN_HEX86 16.9606778 0.0124873 1358.23 <2e-16 ***
DESTIN_HEX87 17.2060058 0.0086911 1979.72 <2e-16 ***
DESTIN_HEX88 12.5393359 0.2041334 61.43 <2e-16 ***
DESTIN_HEX89 14.6777065 0.0620486 236.55 <2e-16 ***
DESTIN_HEX90 14.9495515 0.0357388 418.30 <2e-16 ***
DESTIN_HEX91 15.2109747 0.0304857 498.95 <2e-16 ***
DESTIN_HEX92 16.4120221 0.0109179 1503.22 <2e-16 ***
DESTIN_HEX93 18.8644945 0.0036052 5232.53 <2e-16 ***
DESTIN_HEX94 15.4373294 0.0287526 536.90 <2e-16 ***
DESTIN_HEX95 15.3624826 0.0437714 350.97 <2e-16 ***
DESTIN_HEX96 14.0367081 0.0806048 174.14 <2e-16 ***
DESTIN_HEX97 14.7267698 0.0645775 228.05 <2e-16 ***
DESTIN_HEX98 16.0102538 0.0195739 817.94 <2e-16 ***
DESTIN_HEX99 15.3031954 0.0212661 719.60 <2e-16 ***
DESTIN_HEX100 18.9077367 0.0033250 5686.51 <2e-16 ***
DESTIN_HEX101 19.0727962 0.0038170 4996.81 <2e-16 ***
DESTIN_HEX102 15.8543460 0.0226134 701.11 <2e-16 ***
DESTIN_HEX103 13.0134769 0.1543154 84.33 <2e-16 ***
DESTIN_HEX104 14.2482854 0.0980804 145.27 <2e-16 ***
DESTIN_HEX105 12.9161700 1.0000027 12.92 <2e-16 ***
DESTIN_HEX106 14.5300518 0.0595765 243.89 <2e-16 ***
DESTIN_HEX107 15.7757589 0.0415996 379.23 <2e-16 ***
DESTIN_HEX108 15.3202141 0.0194840 786.30 <2e-16 ***
DESTIN_HEX109 18.3252092 0.0042535 4308.30 <2e-16 ***
DESTIN_HEX110 17.8140865 0.0080560 2211.28 <2e-16 ***
DESTIN_HEX111 14.8219266 0.0570150 259.96 <2e-16 ***
DESTIN_HEX112 16.7284438 0.0324980 514.75 <2e-16 ***
DESTIN_HEX113 12.5101894 0.4472179 27.97 <2e-16 ***
DESTIN_HEX114 13.0094515 0.2672687 48.68 <2e-16 ***
DESTIN_HEX115 15.2121352 0.0321919 472.55 <2e-16 ***
DESTIN_HEX116 15.6882019 0.0354011 443.16 <2e-16 ***
DESTIN_HEX117 19.6516524 0.0026088 7532.96 <2e-16 ***
DESTIN_HEX118 18.0946734 0.0049821 3631.92 <2e-16 ***
DESTIN_HEX119 13.7999081 0.0710935 194.11 <2e-16 ***
DESTIN_HEX120 14.3933321 0.0887577 162.16 <2e-16 ***
DESTIN_HEX121 14.0360846 0.2357134 59.55 <2e-16 ***
DESTIN_HEX122 15.5223457 0.0508052 305.53 <2e-16 ***
DESTIN_HEX123 14.5795313 0.0693684 210.18 <2e-16 ***
DESTIN_HEX124 15.5017301 0.0264053 587.07 <2e-16 ***
DESTIN_HEX125 15.0229791 0.0221767 677.42 <2e-16 ***
DESTIN_HEX126 17.8579667 0.0046600 3832.20 <2e-16 ***
DESTIN_HEX127 14.1483042 0.0682271 207.37 <2e-16 ***
DESTIN_HEX128 14.8073102 0.0990383 149.51 <2e-16 ***
DESTIN_HEX129 13.6056981 0.1443508 94.25 <2e-16 ***
DESTIN_HEX130 14.4238059 0.0405989 355.28 <2e-16 ***
DESTIN_HEX131 15.0658638 0.0306564 491.44 <2e-16 ***
DESTIN_HEX132 15.8461890 0.0130149 1217.55 <2e-16 ***
DESTIN_HEX133 18.5309866 0.0040753 4547.15 <2e-16 ***
DESTIN_HEX134 14.2812583 0.0572951 249.26 <2e-16 ***
DESTIN_HEX135 14.5131557 0.0395084 367.34 <2e-16 ***
DESTIN_HEX136 18.2831038 0.0040495 4514.93 <2e-16 ***
DESTIN_HEX137 15.6710022 0.0205216 763.63 <2e-16 ***
DESTIN_HEX138 17.2427809 0.0070044 2461.69 <2e-16 ***
DESTIN_HEX139 17.7782149 0.0054905 3238.02 <2e-16 ***
DESTIN_HEX140 18.7541343 0.0034994 5359.24 <2e-16 ***
DESTIN_HEX141 18.5271398 0.0063472 2918.96 <2e-16 ***
DESTIN_HEX142 16.0840554 0.0240330 669.25 <2e-16 ***
DESTIN_HEX143 14.7318543 0.0309181 476.48 <2e-16 ***
DESTIN_HEX144 18.4917159 0.0039383 4695.40 <2e-16 ***
DESTIN_HEX145 18.5530001 0.0037789 4909.66 <2e-16 ***
DESTIN_HEX146 17.5863991 0.0088687 1982.96 <2e-16 ***
DESTIN_HEX147 15.6672676 0.0220411 710.82 <2e-16 ***
DESTIN_HEX148 18.0385204 0.0054814 3290.85 <2e-16 ***
DESTIN_HEX149 17.0771286 0.0082651 2066.18 <2e-16 ***
DESTIN_HEX150 18.5087652 0.0037917 4881.41 <2e-16 ***
DESTIN_HEX151 15.4044265 0.0294507 523.06 <2e-16 ***
DESTIN_HEX152 15.6716999 0.0167139 937.64 <2e-16 ***
DESTIN_HEX154 14.6789280 0.0407683 360.06 <2e-16 ***
DESTIN_HEX156 17.1450230 0.0104970 1633.33 <2e-16 ***
DESTIN_HEX157 15.6399459 0.0144419 1082.96 <2e-16 ***
DESTIN_HEX158 17.7354171 0.0052332 3389.01 <2e-16 ***
DESTIN_HEX160 15.5310632 0.0283033 548.74 <2e-16 ***
DESTIN_HEX161 17.4446378 0.0076911 2268.15 <2e-16 ***
DESTIN_HEX162 14.3004892 0.0283803 503.89 <2e-16 ***
DESTIN_HEX163 18.4203411 0.0036888 4993.52 <2e-16 ***
DESTIN_HEX164 16.9825424 0.0107069 1586.13 <2e-16 ***
DESTIN_HEX165 18.5499185 0.0045648 4063.70 <2e-16 ***
DESTIN_HEX166 14.0968004 0.0745613 189.06 <2e-16 ***
DESTIN_HEX167 15.4541774 0.0169782 910.24 <2e-16 ***
DESTIN_HEX168 17.3437292 0.0052133 3326.81 <2e-16 ***
DESTIN_HEX169 16.9519855 0.0069685 2432.66 <2e-16 ***
DESTIN_HEX170 17.4682090 0.0085600 2040.67 <2e-16 ***
DESTIN_HEX171 18.2192934 0.0055136 3304.43 <2e-16 ***
DESTIN_HEX172 16.3546545 0.0130127 1256.83 <2e-16 ***
DESTIN_HEX173 13.6991074 0.0690323 198.44 <2e-16 ***
DESTIN_HEX174 18.3200728 0.0045712 4007.75 <2e-16 ***
DESTIN_HEX175 18.5585150 0.0033958 5465.20 <2e-16 ***
DESTIN_HEX176 17.6558863 0.0048849 3614.40 <2e-16 ***
DESTIN_HEX177 18.6361104 0.0042481 4386.93 <2e-16 ***
DESTIN_HEX178 16.5101472 0.0141111 1170.01 <2e-16 ***
DESTIN_HEX179 18.4238024 0.0037285 4941.33 <2e-16 ***
DESTIN_HEX180 17.8115136 0.0057171 3115.47 <2e-16 ***
DESTIN_HEX181 16.2034499 0.0215225 752.86 <2e-16 ***
DESTIN_HEX182 14.5250137 0.0441481 329.01 <2e-16 ***
DESTIN_HEX183 16.1284420 0.0099791 1616.22 <2e-16 ***
DESTIN_HEX184 17.9384129 0.0043673 4107.44 <2e-16 ***
DESTIN_HEX185 18.0661138 0.0041195 4385.47 <2e-16 ***
DESTIN_HEX186 18.0084733 0.0051021 3529.65 <2e-16 ***
DESTIN_HEX187 17.9711471 0.0055960 3211.43 <2e-16 ***
DESTIN_HEX188 18.9503687 0.0032278 5870.97 <2e-16 ***
DESTIN_HEX189 18.4479155 0.0052859 3490.01 <2e-16 ***
DESTIN_HEX190 14.8153072 0.0357398 414.53 <2e-16 ***
DESTIN_HEX191 14.2512092 0.0776419 183.55 <2e-16 ***
DESTIN_HEX192 17.3946745 0.0059982 2899.98 <2e-16 ***
DESTIN_HEX193 17.3536082 0.0060238 2880.86 <2e-16 ***
DESTIN_HEX194 17.5532362 0.0052410 3349.20 <2e-16 ***
DESTIN_HEX195 16.7450406 0.0080418 2082.24 <2e-16 ***
DESTIN_HEX196 17.6044971 0.0055019 3199.70 <2e-16 ***
DESTIN_HEX197 17.9596672 0.0042717 4204.37 <2e-16 ***
DESTIN_HEX198 17.4641409 0.0061395 2844.55 <2e-16 ***
DESTIN_HEX199 19.3231962 0.0038752 4986.33 <2e-16 ***
DESTIN_HEX200 15.7561393 0.0267298 589.46 <2e-16 ***
DESTIN_HEX201 14.5178646 0.0416004 348.98 <2e-16 ***
DESTIN_HEX202 16.0441213 0.0203108 789.93 <2e-16 ***
DESTIN_HEX203 15.6833222 0.0249714 628.05 <2e-16 ***
DESTIN_HEX204 16.3844440 0.0124853 1312.30 <2e-16 ***
DESTIN_HEX205 16.1817086 0.0131798 1227.77 <2e-16 ***
DESTIN_HEX206 18.0237415 0.0065341 2758.41 <2e-16 ***
DESTIN_HEX207 18.7103143 0.0032356 5782.56 <2e-16 ***
DESTIN_HEX208 18.3365616 0.0057487 3189.71 <2e-16 ***
DESTIN_HEX209 16.1569102 0.0112960 1430.33 <2e-16 ***
DESTIN_HEX210 16.9681597 0.0085325 1988.64 <2e-16 ***
DESTIN_HEX211 16.5505937 0.0093875 1763.05 <2e-16 ***
DESTIN_HEX212 13.7722001 0.0691976 199.03 <2e-16 ***
DESTIN_HEX213 15.2489815 0.0297055 513.34 <2e-16 ***
DESTIN_HEX214 14.8643513 0.0340502 436.54 <2e-16 ***
DESTIN_HEX215 16.0012437 0.0145357 1100.82 <2e-16 ***
DESTIN_HEX216 17.4164525 0.0067386 2584.60 <2e-16 ***
DESTIN_HEX217 15.2671004 0.0224662 679.56 <2e-16 ***
DESTIN_HEX218 18.2417039 0.0039169 4657.13 <2e-16 ***
DESTIN_HEX219 16.9752643 0.0107550 1578.36 <2e-16 ***
DESTIN_HEX220 18.0877437 0.0040682 4446.12 <2e-16 ***
DESTIN_HEX221 16.1134306 0.0117213 1374.72 <2e-16 ***
DESTIN_HEX222 16.1023747 0.0145788 1104.51 <2e-16 ***
DESTIN_HEX223 15.3280225 0.0284797 538.21 <2e-16 ***
DESTIN_HEX224 15.1655767 0.0225042 673.90 <2e-16 ***
DESTIN_HEX225 14.7050298 0.0368328 399.24 <2e-16 ***
DESTIN_HEX226 16.7671835 0.0160216 1046.54 <2e-16 ***
DESTIN_HEX227 17.3098244 0.0057185 3026.99 <2e-16 ***
DESTIN_HEX228 14.6646749 0.0248616 589.85 <2e-16 ***
DESTIN_HEX229 16.8652379 0.0079800 2113.44 <2e-16 ***
DESTIN_HEX230 17.7195638 0.0048386 3662.16 <2e-16 ***
DESTIN_HEX231 17.8585762 0.0045795 3899.67 <2e-16 ***
DESTIN_HEX232 17.6465106 0.0070101 2517.31 <2e-16 ***
DESTIN_HEX233 13.8430929 0.0582531 237.64 <2e-16 ***
DESTIN_HEX234 15.4693816 0.0188472 820.78 <2e-16 ***
DESTIN_HEX235 16.5018657 0.0134436 1227.49 <2e-16 ***
DESTIN_HEX236 17.8152625 0.0046176 3858.13 <2e-16 ***
DESTIN_HEX237 18.0601512 0.0038043 4747.31 <2e-16 ***
DESTIN_HEX238 15.1485565 0.0213273 710.29 <2e-16 ***
DESTIN_HEX239 15.6956048 0.0218219 719.26 <2e-16 ***
DESTIN_HEX240 17.5239056 0.0062799 2790.49 <2e-16 ***
DESTIN_HEX241 14.3466388 0.0299718 478.67 <2e-16 ***
DESTIN_HEX242 18.9949326 0.0030868 6153.52 <2e-16 ***
DESTIN_HEX243 11.4957175 0.4082526 28.16 <2e-16 ***
DESTIN_HEX244 18.7289396 0.0041602 4501.89 <2e-16 ***
DESTIN_HEX245 14.6590747 0.0425307 344.67 <2e-16 ***
DESTIN_HEX246 16.4397368 0.0108982 1508.48 <2e-16 ***
DESTIN_HEX247 18.1430638 0.0049581 3659.30 <2e-16 ***
DESTIN_HEX248 19.2336123 0.0027682 6947.98 <2e-16 ***
DESTIN_HEX249 15.9125275 0.0216251 735.84 <2e-16 ***
DESTIN_HEX250 16.9495969 0.0089623 1891.22 <2e-16 ***
DESTIN_HEX251 15.0138385 0.0192990 777.96 <2e-16 ***
DESTIN_HEX252 17.6379435 0.0055215 3194.41 <2e-16 ***
DESTIN_HEX253 16.0397675 0.0111615 1437.06 <2e-16 ***
DESTIN_HEX254 18.2707152 0.0049977 3655.83 <2e-16 ***
DESTIN_HEX255 15.7894072 0.0293697 537.61 <2e-16 ***
DESTIN_HEX256 15.2177741 0.0242945 626.39 <2e-16 ***
DESTIN_HEX257 19.3670942 0.0039877 4856.70 <2e-16 ***
DESTIN_HEX258 17.0886336 0.0068581 2491.76 <2e-16 ***
DESTIN_HEX259 17.8499773 0.0040316 4427.53 <2e-16 ***
DESTIN_HEX260 17.7404060 0.0046621 3805.24 <2e-16 ***
DESTIN_HEX262 17.2289604 0.0075076 2294.87 <2e-16 ***
DESTIN_HEX263 16.5270279 0.0094030 1757.64 <2e-16 ***
DESTIN_HEX264 15.3535841 0.0176409 870.34 <2e-16 ***
DESTIN_HEX265 18.1298409 0.0040954 4426.85 <2e-16 ***
DESTIN_HEX266 18.1759578 0.0062052 2929.13 <2e-16 ***
DESTIN_HEX267 15.7842642 0.0153055 1031.28 <2e-16 ***
DESTIN_HEX269 17.0265663 0.0074998 2270.26 <2e-16 ***
DESTIN_HEX270 17.3505269 0.0059291 2926.32 <2e-16 ***
DESTIN_HEX271 16.5022412 0.0081568 2023.12 <2e-16 ***
DESTIN_HEX272 16.2371202 0.0100074 1622.52 <2e-16 ***
DESTIN_HEX273 17.0914686 0.0064625 2644.73 <2e-16 ***
DESTIN_HEX274 16.6633676 0.0089922 1853.10 <2e-16 ***
DESTIN_HEX275 16.0424306 0.0204325 785.14 <2e-16 ***
DESTIN_HEX276 18.7188713 0.0037021 5056.32 <2e-16 ***
DESTIN_HEX277 18.1864457 0.0056997 3190.79 <2e-16 ***
DESTIN_HEX278 15.3791962 0.0296819 518.13 <2e-16 ***
DESTIN_HEX279 18.4989168 0.0041892 4415.89 <2e-16 ***
DESTIN_HEX280 19.5265024 0.0029818 6548.56 <2e-16 ***
DESTIN_HEX281 15.7121508 0.0243902 644.20 <2e-16 ***
DESTIN_HEX282 16.6899425 0.0124569 1339.81 <2e-16 ***
DESTIN_HEX283 16.0202909 0.0120027 1334.72 <2e-16 ***
DESTIN_HEX284 16.1589542 0.0103855 1555.92 <2e-16 ***
DESTIN_HEX285 16.2869762 0.0100644 1618.28 <2e-16 ***
DESTIN_HEX286 17.8971268 0.0049322 3628.63 <2e-16 ***
DESTIN_HEX287 17.0672941 0.0108239 1576.81 <2e-16 ***
DESTIN_HEX288 17.7764056 0.0062268 2854.84 <2e-16 ***
DESTIN_HEX289 17.4451022 0.0087805 1986.80 <2e-16 ***
DESTIN_HEX290 18.2751177 0.0047355 3859.21 <2e-16 ***
DESTIN_HEX291 14.9890050 0.0316924 472.95 <2e-16 ***
DESTIN_HEX292 16.3236663 0.0105694 1544.43 <2e-16 ***
DESTIN_HEX293 17.2273419 0.0061759 2789.44 <2e-16 ***
DESTIN_HEX294 17.3201592 0.0057996 2986.44 <2e-16 ***
DESTIN_HEX295 16.9383688 0.0071377 2373.08 <2e-16 ***
DESTIN_HEX296 17.0914977 0.0060825 2809.96 <2e-16 ***
DESTIN_HEX297 15.5240004 0.0282086 550.33 <2e-16 ***
DESTIN_HEX298 18.2614119 0.0042408 4306.17 <2e-16 ***
DESTIN_HEX299 18.1501766 0.0051538 3521.74 <2e-16 ***
DESTIN_HEX300 17.6271227 0.0054787 3217.38 <2e-16 ***
DESTIN_HEX301 16.6733935 0.0077800 2143.10 <2e-16 ***
DESTIN_HEX302 17.4512273 0.0054183 3220.82 <2e-16 ***
DESTIN_HEX303 16.3982670 0.0091461 1792.92 <2e-16 ***
DESTIN_HEX304 12.0091268 0.2582060 46.51 <2e-16 ***
DESTIN_HEX305 17.8155481 0.0054827 3249.42 <2e-16 ***
DESTIN_HEX306 18.1227351 0.0066983 2705.58 <2e-16 ***
DESTIN_HEX307 17.0262185 0.0074540 2284.19 <2e-16 ***
DESTIN_HEX308 15.8655705 0.0128868 1231.15 <2e-16 ***
DESTIN_HEX309 15.7525753 0.0107552 1464.64 <2e-16 ***
DESTIN_HEX310 16.2112451 0.0094148 1721.88 <2e-16 ***
DESTIN_HEX311 17.7572931 0.0050707 3501.92 <2e-16 ***
DESTIN_HEX312 13.2578518 0.2773589 47.80 <2e-16 ***
DESTIN_HEX313 17.6990977 0.0062883 2814.60 <2e-16 ***
DESTIN_HEX314 16.5752119 0.0118705 1396.33 <2e-16 ***
DESTIN_HEX315 14.4982498 0.0342208 423.67 <2e-16 ***
DESTIN_HEX316 15.6806410 0.0214406 731.35 <2e-16 ***
DESTIN_HEX317 15.4148626 0.0255197 604.04 <2e-16 ***
DESTIN_HEX318 17.9586157 0.0039626 4532.09 <2e-16 ***
DESTIN_HEX319 15.4545995 0.0175339 881.41 <2e-16 ***
DESTIN_HEX320 16.8632001 0.0072658 2320.89 <2e-16 ***
DESTIN_HEX321 16.5413649 0.0195391 846.58 <2e-16 ***
DESTIN_HEX322 12.9641518 0.1525128 85.00 <2e-16 ***
DESTIN_HEX323 16.5277939 0.0149418 1106.15 <2e-16 ***
DESTIN_HEX324 19.5897664 0.0026960 7266.10 <2e-16 ***
DESTIN_HEX325 17.1107096 0.0109811 1558.19 <2e-16 ***
DESTIN_HEX326 16.9159648 0.0083106 2035.48 <2e-16 ***
DESTIN_HEX327 15.5146447 0.0149705 1036.35 <2e-16 ***
DESTIN_HEX328 16.3363486 0.0108888 1500.29 <2e-16 ***
DESTIN_HEX329 16.2082407 0.0090886 1783.37 <2e-16 ***
DESTIN_HEX330 16.0217793 0.0127201 1259.57 <2e-16 ***
DESTIN_HEX331 18.3004615 0.0047897 3820.78 <2e-16 ***
DESTIN_HEX332 18.4558361 0.0041932 4401.32 <2e-16 ***
DESTIN_HEX333 17.6793388 0.0098580 1793.40 <2e-16 ***
DESTIN_HEX334 15.5893111 0.0155114 1005.02 <2e-16 ***
DESTIN_HEX335 14.5783453 0.0279267 522.02 <2e-16 ***
DESTIN_HEX336 17.1552016 0.0054195 3165.45 <2e-16 ***
DESTIN_HEX337 16.7446931 0.0078012 2146.41 <2e-16 ***
DESTIN_HEX338 14.1660584 0.0778756 181.91 <2e-16 ***
DESTIN_HEX339 16.3606594 0.0199918 818.37 <2e-16 ***
DESTIN_HEX340 18.6317235 0.0037012 5033.98 <2e-16 ***
DESTIN_HEX341 17.3932965 0.0076804 2264.65 <2e-16 ***
DESTIN_HEX343 15.6261177 0.0126046 1239.72 <2e-16 ***
DESTIN_HEX344 17.0102611 0.0059888 2840.36 <2e-16 ***
DESTIN_HEX345 17.8511647 0.0041193 4333.55 <2e-16 ***
DESTIN_HEX346 18.7430773 0.0041107 4559.64 <2e-16 ***
DESTIN_HEX347 19.1101363 0.0033974 5624.99 <2e-16 ***
DESTIN_HEX348 16.4334830 0.0133249 1233.29 <2e-16 ***
DESTIN_HEX349 13.0867809 0.2425423 53.96 <2e-16 ***
DESTIN_HEX350 16.5570988 0.0081039 2043.10 <2e-16 ***
DESTIN_HEX351 17.0383340 0.0057641 2955.95 <2e-16 ***
DESTIN_HEX352 17.5946655 0.0043680 4028.12 <2e-16 ***
DESTIN_HEX353 16.7771297 0.0064111 2616.91 <2e-16 ***
DESTIN_HEX354 15.9744031 0.0115147 1387.30 <2e-16 ***
DESTIN_HEX355 15.6821927 0.0319429 490.94 <2e-16 ***
DESTIN_HEX356 17.9657301 0.0062652 2867.55 <2e-16 ***
DESTIN_HEX357 17.9455019 0.0054770 3276.52 <2e-16 ***
DESTIN_HEX358 16.2057023 0.0152226 1064.59 <2e-16 ***
DESTIN_HEX360 16.9855643 0.0065530 2592.02 <2e-16 ***
DESTIN_HEX361 17.0361773 0.0060292 2825.62 <2e-16 ***
DESTIN_HEX362 16.5099899 0.0079891 2066.56 <2e-16 ***
DESTIN_HEX363 16.3856341 0.0089645 1827.83 <2e-16 ***
DESTIN_HEX364 11.8526295 0.3333384 35.56 <2e-16 ***
DESTIN_HEX365 18.3835947 0.0045977 3998.41 <2e-16 ***
DESTIN_HEX366 14.5502292 0.0514668 282.71 <2e-16 ***
DESTIN_HEX367 15.3298300 0.0299284 512.22 <2e-16 ***
DESTIN_HEX368 17.6178358 0.0047841 3682.59 <2e-16 ***
DESTIN_HEX369 17.4157006 0.0046862 3716.36 <2e-16 ***
DESTIN_HEX370 16.8910811 0.0102183 1653.02 <2e-16 ***
DESTIN_HEX371 15.5624143 0.0133104 1169.19 <2e-16 ***
DESTIN_HEX372 16.5167161 0.0081023 2038.53 <2e-16 ***
DESTIN_HEX373 13.9433008 0.0677550 205.79 <2e-16 ***
DESTIN_HEX374 13.3429747 0.1139774 117.07 <2e-16 ***
DESTIN_HEX375 15.8532251 0.0160119 990.09 <2e-16 ***
DESTIN_HEX376 16.7187208 0.0130315 1282.95 <2e-16 ***
DESTIN_HEX377 15.8163155 0.0115803 1365.79 <2e-16 ***
DESTIN_HEX378 16.8880856 0.0064567 2615.59 <2e-16 ***
DESTIN_HEX379 17.1653145 0.0052606 3262.99 <2e-16 ***
DESTIN_HEX380 16.3890336 0.0082953 1975.70 <2e-16 ***
DESTIN_HEX381 17.2160183 0.0081065 2123.73 <2e-16 ***
DESTIN_HEX382 17.9006349 0.0065319 2740.50 <2e-16 ***
DESTIN_HEX383 16.5494908 0.0138364 1196.09 <2e-16 ***
DESTIN_HEX384 15.7081638 0.0119600 1313.39 <2e-16 ***
DESTIN_HEX385 17.1546774 0.0050370 3405.76 <2e-16 ***
DESTIN_HEX386 15.8969370 0.0115509 1376.25 <2e-16 ***
DESTIN_HEX387 15.6948064 0.0124801 1257.59 <2e-16 ***
DESTIN_HEX388 16.5106722 0.0092518 1784.59 <2e-16 ***
DESTIN_HEX389 15.0487240 0.0238056 632.15 <2e-16 ***
DESTIN_HEX390 12.4747231 0.1270144 98.22 <2e-16 ***
DESTIN_HEX391 16.6323400 0.0110856 1500.36 <2e-16 ***
DESTIN_HEX392 18.2409117 0.0044272 4120.22 <2e-16 ***
DESTIN_HEX393 16.4060194 0.0119617 1371.55 <2e-16 ***
DESTIN_HEX394 18.5639627 0.0034522 5377.40 <2e-16 ***
DESTIN_HEX395 17.4194782 0.0047543 3663.95 <2e-16 ***
DESTIN_HEX396 17.8276167 0.0040167 4438.39 <2e-16 ***
DESTIN_HEX397 14.9335199 0.0173596 860.25 <2e-16 ***
DESTIN_HEX398 13.8743729 0.0493077 281.38 <2e-16 ***
DESTIN_HEX399 12.6564549 0.1195392 105.88 <2e-16 ***
DESTIN_HEX400 17.9550799 0.0062201 2886.64 <2e-16 ***
DESTIN_HEX401 15.7153013 0.0190049 826.91 <2e-16 ***
DESTIN_HEX402 17.0494073 0.0076392 2231.82 <2e-16 ***
DESTIN_HEX403 18.0408021 0.0056715 3180.94 <2e-16 ***
DESTIN_HEX404 17.7745475 0.0042409 4191.27 <2e-16 ***
DESTIN_HEX405 17.2469164 0.0044875 3843.33 <2e-16 ***
DESTIN_HEX406 14.8911862 0.0351103 424.12 <2e-16 ***
DESTIN_HEX407 16.8682188 0.0063206 2668.76 <2e-16 ***
DESTIN_HEX408 12.3702285 0.1561866 79.20 <2e-16 ***
DESTIN_HEX409 14.3895182 0.0365451 393.75 <2e-16 ***
DESTIN_HEX410 16.3870360 0.0110353 1484.96 <2e-16 ***
DESTIN_HEX411 15.7572849 0.0156653 1005.87 <2e-16 ***
DESTIN_HEX412 18.5592081 0.0040169 4620.33 <2e-16 ***
DESTIN_HEX413 16.9038599 0.0107566 1571.49 <2e-16 ***
DESTIN_HEX414 16.6084151 0.0217392 763.98 <2e-16 ***
DESTIN_HEX415 15.3939310 0.0133525 1152.88 <2e-16 ***
DESTIN_HEX416 17.3511775 0.0044738 3878.41 <2e-16 ***
DESTIN_HEX417 17.0433684 0.0049799 3422.43 <2e-16 ***
DESTIN_HEX418 15.6972838 0.0092705 1693.24 <2e-16 ***
DESTIN_HEX419 15.9936160 0.0109699 1457.95 <2e-16 ***
DESTIN_HEX420 17.5011434 0.0083636 2092.54 <2e-16 ***
DESTIN_HEX421 12.1533865 0.2425438 50.11 <2e-16 ***
DESTIN_HEX422 15.5010622 0.0158472 978.16 <2e-16 ***
DESTIN_HEX423 16.0962186 0.0131879 1220.53 <2e-16 ***
DESTIN_HEX424 15.8934400 0.0159279 997.84 <2e-16 ***
DESTIN_HEX425 14.5283613 0.0586575 247.68 <2e-16 ***
DESTIN_HEX426 14.8465983 0.0294363 504.36 <2e-16 ***
DESTIN_HEX427 12.8727172 0.0745599 172.65 <2e-16 ***
DESTIN_HEX428 18.4134250 0.0040052 4597.35 <2e-16 ***
DESTIN_HEX429 17.4632208 0.0069548 2510.97 <2e-16 ***
DESTIN_HEX430 13.8699044 0.1000178 138.67 <2e-16 ***
DESTIN_HEX431 16.6528063 0.0072568 2294.79 <2e-16 ***
DESTIN_HEX432 17.9278871 0.0035704 5021.30 <2e-16 ***
DESTIN_HEX433 16.4928225 0.0057510 2867.82 <2e-16 ***
DESTIN_HEX434 16.5864012 0.0063739 2602.24 <2e-16 ***
DESTIN_HEX435 15.5464445 0.0152776 1017.60 <2e-16 ***
DESTIN_HEX436 16.4197207 0.0086198 1904.88 <2e-16 ***
DESTIN_HEX437 15.2721705 0.0164762 926.92 <2e-16 ***
DESTIN_HEX438 16.5891985 0.0092851 1786.64 <2e-16 ***
DESTIN_HEX439 15.6803072 0.0204794 765.66 <2e-16 ***
DESTIN_HEX440 18.5999986 0.0039086 4758.75 <2e-16 ***
DESTIN_HEX441 17.5194167 0.0055966 3130.39 <2e-16 ***
DESTIN_HEX442 17.4737887 0.0062144 2811.84 <2e-16 ***
DESTIN_HEX443 18.5830453 0.0044915 4137.40 <2e-16 ***
DESTIN_HEX444 14.2354949 0.0587536 242.29 <2e-16 ***
DESTIN_HEX445 15.7974067 0.0085267 1852.70 <2e-16 ***
DESTIN_HEX446 15.7556169 0.0083527 1886.30 <2e-16 ***
DESTIN_HEX447 17.2987093 0.0042419 4078.04 <2e-16 ***
DESTIN_HEX448 16.1174723 0.0086786 1857.16 <2e-16 ***
DESTIN_HEX449 15.2647460 0.0170952 892.92 <2e-16 ***
DESTIN_HEX450 14.2608148 0.0332851 428.44 <2e-16 ***
DESTIN_HEX451 15.6523480 0.0117779 1328.96 <2e-16 ***
DESTIN_HEX452 17.2632852 0.0070735 2440.56 <2e-16 ***
DESTIN_HEX453 16.4403797 0.0133015 1235.98 <2e-16 ***
DESTIN_HEX455 15.3293487 0.0279401 548.65 <2e-16 ***
DESTIN_HEX456 18.2334715 0.0039869 4573.37 <2e-16 ***
DESTIN_HEX457 18.8712713 0.0032486 5809.14 <2e-16 ***
DESTIN_HEX458 18.0656995 0.0058348 3096.20 <2e-16 ***
DESTIN_HEX459 16.1009827 0.0169991 947.16 <2e-16 ***
DESTIN_HEX460 16.4971139 0.0061947 2663.10 <2e-16 ***
DESTIN_HEX461 15.8809835 0.0072485 2190.92 <2e-16 ***
DESTIN_HEX462 15.9779664 0.0070737 2258.78 <2e-16 ***
DESTIN_HEX463 15.8930867 0.0082155 1934.53 <2e-16 ***
DESTIN_HEX464 16.3021037 0.0210236 775.42 <2e-16 ***
DESTIN_HEX465 14.5515297 0.0200629 725.30 <2e-16 ***
DESTIN_HEX466 16.3232570 0.0076748 2126.85 <2e-16 ***
DESTIN_HEX467 16.7250460 0.0065612 2549.08 <2e-16 ***
DESTIN_HEX468 17.5905145 0.0051473 3417.45 <2e-16 ***
DESTIN_HEX469 17.5701572 0.0052259 3362.14 <2e-16 ***
DESTIN_HEX470 16.4776832 0.0120213 1370.71 <2e-16 ***
DESTIN_HEX471 17.7121240 0.0067962 2606.17 <2e-16 ***
DESTIN_HEX472 18.1155562 0.0040769 4443.42 <2e-16 ***
DESTIN_HEX473 17.9143809 0.0052019 3443.80 <2e-16 ***
DESTIN_HEX474 18.0221202 0.0130450 1381.53 <2e-16 ***
DESTIN_HEX475 17.1307334 0.0041273 4150.54 <2e-16 ***
DESTIN_HEX476 15.7628896 0.0076978 2047.71 <2e-16 ***
DESTIN_HEX477 17.0868384 0.0043098 3964.65 <2e-16 ***
DESTIN_HEX478 16.8512437 0.0055503 3036.08 <2e-16 ***
DESTIN_HEX479 16.3615990 0.0070990 2304.79 <2e-16 ***
DESTIN_HEX480 16.0549097 0.0092523 1735.22 <2e-16 ***
DESTIN_HEX481 16.6359641 0.0074455 2234.37 <2e-16 ***
DESTIN_HEX482 16.4645174 0.0074455 2211.34 <2e-16 ***
DESTIN_HEX483 17.3999584 0.0054024 3220.81 <2e-16 ***
DESTIN_HEX484 16.9761853 0.0072084 2355.07 <2e-16 ***
DESTIN_HEX485 17.8986239 0.0052144 3432.53 <2e-16 ***
DESTIN_HEX486 17.8322733 0.0057382 3107.65 <2e-16 ***
DESTIN_HEX487 16.4073469 0.0063756 2573.48 <2e-16 ***
DESTIN_HEX488 17.2702678 0.0037239 4637.71 <2e-16 ***
DESTIN_HEX489 17.0447914 0.0040769 4180.77 <2e-16 ***
DESTIN_HEX490 14.9238305 0.0184837 807.40 <2e-16 ***
DESTIN_HEX491 17.1015060 0.0050704 3372.79 <2e-16 ***
DESTIN_HEX492 17.3343978 0.0045771 3787.21 <2e-16 ***
DESTIN_HEX493 14.3145552 0.0247166 579.15 <2e-16 ***
DESTIN_HEX494 17.6298530 0.0045208 3899.71 <2e-16 ***
DESTIN_HEX495 18.0430141 0.0036125 4994.56 <2e-16 ***
DESTIN_HEX496 18.4918836 0.0034597 5344.95 <2e-16 ***
DESTIN_HEX497 15.4002469 0.0185038 832.27 <2e-16 ***
DESTIN_HEX498 16.9716863 0.0100768 1684.23 <2e-16 ***
DESTIN_HEX499 18.0733526 0.0049794 3629.60 <2e-16 ***
DESTIN_HEX500 17.3377584 0.0102762 1687.18 <2e-16 ***
DESTIN_HEX501 16.2655249 0.0057997 2804.56 <2e-16 ***
DESTIN_HEX502 16.6041308 0.0052298 3174.91 <2e-16 ***
DESTIN_HEX503 15.8190298 0.0083282 1899.45 <2e-16 ***
DESTIN_HEX504 15.8118920 0.0095402 1657.39 <2e-16 ***
DESTIN_HEX505 17.0847781 0.0055144 3098.19 <2e-16 ***
DESTIN_HEX506 18.0363230 0.0043855 4112.72 <2e-16 ***
DESTIN_HEX507 18.1298833 0.0036430 4976.68 <2e-16 ***
DESTIN_HEX508 17.0870812 0.0055769 3063.89 <2e-16 ***
DESTIN_HEX509 17.4120745 0.0048826 3566.14 <2e-16 ***
DESTIN_HEX510 15.8063793 0.0143080 1104.72 <2e-16 ***
DESTIN_HEX511 18.3871506 0.0045394 4050.60 <2e-16 ***
DESTIN_HEX512 17.8571494 0.0073639 2424.95 <2e-16 ***
DESTIN_HEX513 15.0610502 0.0118645 1269.42 <2e-16 ***
DESTIN_HEX514 16.1067891 0.0066044 2438.78 <2e-16 ***
DESTIN_HEX515 17.0632049 0.0038803 4397.36 <2e-16 ***
DESTIN_HEX516 17.4891871 0.0037136 4709.44 <2e-16 ***
DESTIN_HEX517 16.9084608 0.0055684 3036.49 <2e-16 ***
DESTIN_HEX518 18.5073942 0.0029408 6293.32 <2e-16 ***
DESTIN_HEX519 16.6411948 0.0068146 2441.99 <2e-16 ***
DESTIN_HEX520 16.5619638 0.0069017 2399.68 <2e-16 ***
DESTIN_HEX521 18.6397719 0.0030404 6130.69 <2e-16 ***
DESTIN_HEX522 16.1495962 0.0116688 1384.00 <2e-16 ***
DESTIN_HEX523 15.9381850 0.0150508 1058.96 <2e-16 ***
DESTIN_HEX524 17.2196853 0.0090346 1905.98 <2e-16 ***
DESTIN_HEX525 15.2587804 0.0098023 1556.65 <2e-16 ***
DESTIN_HEX526 16.0658728 0.0060084 2673.91 <2e-16 ***
DESTIN_HEX527 17.1847141 0.0038880 4419.88 <2e-16 ***
DESTIN_HEX528 16.9340710 0.0051485 3289.14 <2e-16 ***
DESTIN_HEX529 17.2444947 0.0049749 3466.31 <2e-16 ***
DESTIN_HEX530 17.8702418 0.0038780 4608.09 <2e-16 ***
DESTIN_HEX531 17.5941090 0.0056619 3107.45 <2e-16 ***
DESTIN_HEX532 17.8717872 0.0040072 4459.91 <2e-16 ***
DESTIN_HEX533 17.7028574 0.0047495 3727.32 <2e-16 ***
DESTIN_HEX534 13.8423324 0.0745598 185.65 <2e-16 ***
DESTIN_HEX535 10.3423291 0.4472168 23.13 <2e-16 ***
DESTIN_HEX536 15.1331486 0.0165983 911.73 <2e-16 ***
DESTIN_HEX537 16.8012672 0.0045607 3683.92 <2e-16 ***
DESTIN_HEX538 17.3179522 0.0051020 3394.33 <2e-16 ***
DESTIN_HEX539 17.0094896 0.0051993 3271.48 <2e-16 ***
DESTIN_HEX540 18.0412218 0.0049830 3620.57 <2e-16 ***
DESTIN_HEX541 16.5701700 0.0075864 2184.20 <2e-16 ***
DESTIN_HEX542 15.6385039 0.0124844 1252.64 <2e-16 ***
DESTIN_HEX543 18.3142974 0.0036243 5053.25 <2e-16 ***
DESTIN_HEX544 16.8129574 0.0117408 1432.01 <2e-16 ***
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DESTIN_HEX546 16.6332790 0.0148558 1119.65 <2e-16 ***
DESTIN_HEX547 13.9618461 0.0473879 294.63 <2e-16 ***
DESTIN_HEX548 15.3337037 0.0137837 1112.45 <2e-16 ***
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DESTIN_HEX556 17.0853923 0.0084012 2033.69 <2e-16 ***
DESTIN_HEX557 14.0509415 0.0592674 237.08 <2e-16 ***
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DESTIN_HEX559 16.0512705 0.0094524 1698.12 <2e-16 ***
DESTIN_HEX560 16.6824358 0.0188010 887.32 <2e-16 ***
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DESTIN_HEX566 15.5379154 0.0145696 1066.46 <2e-16 ***
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DESTIN_HEX569 13.4229453 0.0894634 150.04 <2e-16 ***
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DESTIN_HEX572 15.5598080 0.0134534 1156.57 <2e-16 ***
DESTIN_HEX573 14.8631349 0.0150008 990.82 <2e-16 ***
DESTIN_HEX574 17.6736886 0.0039490 4475.47 <2e-16 ***
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DESTIN_HEX577 17.5087118 0.0060412 2898.19 <2e-16 ***
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DESTIN_HEX581 17.4113431 0.0096148 1810.89 <2e-16 ***
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DESTIN_HEX583 17.2053121 0.0056052 3069.50 <2e-16 ***
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DESTIN_HEX587 17.7931494 0.0075308 2362.72 <2e-16 ***
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DESTIN_HEX590 17.7886140 0.0057361 3101.14 <2e-16 ***
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DESTIN_HEX593 17.7349753 0.0038316 4628.65 <2e-16 ***
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DESTIN_HEX600 17.0415794 0.0082093 2075.90 <2e-16 ***
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DESTIN_HEX610 18.0293737 0.0051433 3505.41 <2e-16 ***
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DESTIN_HEX648 17.8498815 0.0038299 4660.71 <2e-16 ***
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DESTIN_HEX654 17.3374228 0.0057095 3036.58 <2e-16 ***
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DESTIN_HEX657 17.1256871 0.0056863 3011.74 <2e-16 ***
DESTIN_HEX658 16.5369167 0.0083478 1980.99 <2e-16 ***
DESTIN_HEX659 16.5016812 0.0087125 1894.03 <2e-16 ***
DESTIN_HEX660 15.9778918 0.0220922 723.24 <2e-16 ***
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DESTIN_HEX669 16.4268604 0.0091029 1804.58 <2e-16 ***
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DESTIN_HEX673 17.9191414 0.0042010 4265.42 <2e-16 ***
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DESTIN_HEX675 17.2497618 0.0071820 2401.82 <2e-16 ***
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DESTIN_HEX679 17.8254355 0.0042104 4233.64 <2e-16 ***
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DESTIN_HEX681 17.7862228 0.0045042 3948.82 <2e-16 ***
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DESTIN_HEX684 18.0640783 0.0043184 4183.07 <2e-16 ***
DESTIN_HEX685 16.8926246 0.0064844 2605.12 <2e-16 ***
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DESTIN_HEX687 16.4338751 0.0098355 1670.87 <2e-16 ***
DESTIN_HEX688 14.2778152 0.0618107 230.99 <2e-16 ***
DESTIN_HEX689 17.2012100 0.0069721 2467.16 <2e-16 ***
DESTIN_HEX690 18.9974732 0.0029367 6468.99 <2e-16 ***
DESTIN_HEX691 15.4727879 0.0212014 729.80 <2e-16 ***
DESTIN_HEX692 17.7507207 0.0094703 1874.36 <2e-16 ***
DESTIN_HEX693 17.3478538 0.0052550 3301.21 <2e-16 ***
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DESTIN_HEX695 18.0693059 0.0041680 4335.28 <2e-16 ***
DESTIN_HEX696 14.8941070 0.0364204 408.95 <2e-16 ***
DESTIN_HEX697 18.2320354 0.0081587 2234.67 <2e-16 ***
DESTIN_HEX698 17.8109334 0.0050194 3548.44 <2e-16 ***
DESTIN_HEX700 17.8294430 0.0055799 3195.28 <2e-16 ***
DESTIN_HEX701 15.9866967 0.0140421 1138.49 <2e-16 ***
DESTIN_HEX702 17.8700153 0.0100747 1773.75 <2e-16 ***
DESTIN_HEX703 17.5241624 0.0052160 3359.66 <2e-16 ***
DESTIN_HEX704 14.2904149 0.0513341 278.38 <2e-16 ***
DESTIN_HEX705 17.9191878 0.0050317 3561.24 <2e-16 ***
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DESTIN_HEX707 17.3313544 0.0056342 3076.09 <2e-16 ***
DESTIN_HEX708 16.3575142 0.0090337 1810.72 <2e-16 ***
DESTIN_HEX709 16.6342789 0.0096625 1721.54 <2e-16 ***
DESTIN_HEX710 13.4085713 0.0803439 166.89 <2e-16 ***
DESTIN_HEX711 13.7643453 0.0887579 155.08 <2e-16 ***
DESTIN_HEX712 17.1865895 0.0084045 2044.94 <2e-16 ***
DESTIN_HEX714 16.5793289 0.0083703 1980.74 <2e-16 ***
DESTIN_HEX715 18.1667434 0.0054805 3314.77 <2e-16 ***
DESTIN_HEX716 17.7817714 0.0048420 3672.43 <2e-16 ***
DESTIN_HEX717 15.6400735 0.0252616 619.12 <2e-16 ***
DESTIN_HEX718 17.2478387 0.0088517 1948.53 <2e-16 ***
DESTIN_HEX719 17.1384350 0.0068073 2517.67 <2e-16 ***
DESTIN_HEX720 17.8609977 0.0046206 3865.55 <2e-16 ***
DESTIN_HEX721 18.3509133 0.0042053 4363.74 <2e-16 ***
DESTIN_HEX722 14.7061868 0.0386510 380.49 <2e-16 ***
DESTIN_HEX724 16.7752674 0.0086448 1940.51 <2e-16 ***
DESTIN_HEX725 19.0181583 0.0028236 6735.40 <2e-16 ***
DESTIN_HEX726 17.1378291 0.0072573 2361.45 <2e-16 ***
DESTIN_HEX727 18.1750987 0.0045881 3961.32 <2e-16 ***
DESTIN_HEX728 14.6815072 0.0625288 234.80 <2e-16 ***
DESTIN_HEX729 16.9025292 0.0085358 1980.19 <2e-16 ***
DESTIN_HEX730 15.5135828 0.0133796 1159.50 <2e-16 ***
DESTIN_HEX731 17.8132688 0.0050010 3561.95 <2e-16 ***
DESTIN_HEX732 16.6902550 0.0111211 1500.78 <2e-16 ***
DESTIN_HEX733 18.1674551 0.0047307 3840.31 <2e-16 ***
DESTIN_HEX734 17.0615572 0.0076860 2219.82 <2e-16 ***
DESTIN_HEX735 17.4034878 0.0070428 2471.10 <2e-16 ***
DESTIN_HEX736 17.2888522 0.0060146 2874.50 <2e-16 ***
DESTIN_HEX737 17.7864306 0.0043223 4115.05 <2e-16 ***
DESTIN_HEX738 17.6212366 0.0052292 3369.80 <2e-16 ***
DESTIN_HEX739 18.3552334 0.0041306 4443.69 <2e-16 ***
DESTIN_HEX740 18.0654174 0.0045738 3949.80 <2e-16 ***
DESTIN_HEX741 17.2897893 0.0076139 2270.83 <2e-16 ***
DESTIN_HEX742 16.1681214 0.0173855 929.98 <2e-16 ***
DESTIN_HEX743 17.7950927 0.0061809 2879.05 <2e-16 ***
DESTIN_HEX744 18.4499546 0.0037097 4973.41 <2e-16 ***
DESTIN_HEX745 17.7261455 0.0047408 3739.05 <2e-16 ***
DESTIN_HEX746 17.6928960 0.0049495 3574.69 <2e-16 ***
DESTIN_HEX747 17.1201259 0.0084003 2038.04 <2e-16 ***
DESTIN_HEX748 18.4584079 0.0041125 4488.40 <2e-16 ***
DESTIN_HEX749 17.1218449 0.0074184 2308.02 <2e-16 ***
DESTIN_HEX750 18.0281833 0.0042414 4250.50 <2e-16 ***
DESTIN_HEX751 15.0792835 0.0285140 528.84 <2e-16 ***
DESTIN_HEX752 18.0618497 0.0037623 4800.76 <2e-16 ***
DESTIN_HEX753 17.7193090 0.0050646 3498.63 <2e-16 ***
DESTIN_HEX754 17.8768318 0.0049715 3595.89 <2e-16 ***
DESTIN_HEX755 15.3444765 0.0231352 663.25 <2e-16 ***
DESTIN_HEX756 17.8226796 0.0051009 3494.05 <2e-16 ***
DESTIN_HEX757 16.8252872 0.0074912 2246.01 <2e-16 ***
DESTIN_HEX758 15.3207120 0.0260994 587.01 <2e-16 ***
DESTIN_HEX759 19.2014620 0.0027689 6934.70 <2e-16 ***
DESTIN_HEX760 18.0241219 0.0061580 2926.93 <2e-16 ***
DESTIN_HEX761 18.0400302 0.0051223 3521.86 <2e-16 ***
DESTIN_HEX762 16.7818543 0.0088920 1887.31 <2e-16 ***
DESTIN_HEX763 18.2069764 0.0041187 4420.54 <2e-16 ***
DESTIN_HEX764 16.7738573 0.0075805 2212.76 <2e-16 ***
DESTIN_HEX765 17.6228846 0.0046733 3770.99 <2e-16 ***
DESTIN_HEX766 17.0728869 0.0074296 2297.94 <2e-16 ***
DESTIN_HEX767 18.7639700 0.0033531 5596.06 <2e-16 ***
DESTIN_HEX768 14.4192340 0.0548290 262.99 <2e-16 ***
DESTIN_HEX769 16.2872464 0.0848505 191.95 <2e-16 ***
DESTIN_HEX770 15.5011483 0.0162312 955.02 <2e-16 ***
DESTIN_HEX771 16.4410413 0.0086542 1899.77 <2e-16 ***
DESTIN_HEX772 17.8779183 0.0050208 3560.75 <2e-16 ***
DESTIN_HEX773 17.5221984 0.0050004 3504.13 <2e-16 ***
DESTIN_HEX774 17.0281957 0.0082105 2073.95 <2e-16 ***
DESTIN_HEX775 14.4440626 0.0528813 273.14 <2e-16 ***
DESTIN_HEX776 16.3997601 0.0124583 1316.38 <2e-16 ***
DESTIN_HEX777 16.2312640 0.0119991 1352.71 <2e-16 ***
DESTIN_HEX778 18.0867680 0.0039594 4568.11 <2e-16 ***
DESTIN_HEX779 18.3257141 0.0045889 3993.52 <2e-16 ***
DESTIN_HEX780 17.7365564 0.0054887 3231.45 <2e-16 ***
DESTIN_HEX781 17.0479474 0.0107156 1590.95 <2e-16 ***
DESTIN_HEX782 15.4671639 0.0163315 947.08 <2e-16 ***
DESTIN_HEX783 17.9005977 0.0048122 3719.81 <2e-16 ***
DESTIN_HEX784 18.5756188 0.0034263 5421.41 <2e-16 ***
DESTIN_HEX785 18.5590507 0.0038816 4781.28 <2e-16 ***
DESTIN_HEX786 17.9595365 0.0059097 3039.01 <2e-16 ***
DESTIN_HEX787 17.4141220 0.0058996 2951.76 <2e-16 ***
DESTIN_HEX788 17.0127868 0.0077372 2198.82 <2e-16 ***
DESTIN_HEX789 17.4811416 0.0054369 3215.30 <2e-16 ***
DESTIN_HEX790 18.0097605 0.0052707 3416.93 <2e-16 ***
DESTIN_HEX791 16.6792757 0.0118055 1412.84 <2e-16 ***
DESTIN_HEX792 16.1146570 0.0129021 1248.99 <2e-16 ***
DESTIN_HEX793 17.4208903 0.0062570 2784.21 <2e-16 ***
DESTIN_HEX794 17.8729150 0.0049489 3611.46 <2e-16 ***
DESTIN_HEX795 17.1511605 0.0199545 859.51 <2e-16 ***
DESTIN_HEX796 15.3087383 0.0571102 268.06 <2e-16 ***
DESTIN_HEX797 15.1858746 0.0233322 650.86 <2e-16 ***
DESTIN_HEX798 15.6608980 0.0245811 637.11 <2e-16 ***
DESTIN_HEX799 17.6972872 0.0060791 2911.17 <2e-16 ***
DESTIN_HEX800 15.6291930 0.0176263 886.70 <2e-16 ***
DESTIN_HEX801 14.9924839 0.0365358 410.35 <2e-16 ***
DESTIN_HEX802 16.0333039 0.0271306 590.97 <2e-16 ***
DESTIN_HEX803 16.8286804 0.0119235 1411.39 <2e-16 ***
DESTIN_HEX804 15.8055324 0.0175342 901.41 <2e-16 ***
DESTIN_HEX805 14.5210416 0.0462114 314.23 <2e-16 ***
DESTIN_HEX806 15.3145394 0.0337219 454.14 <2e-16 ***
DESTIN_HEX807 15.6811975 0.0204857 765.47 <2e-16 ***
DESTIN_HEX808 16.2782440 0.0129588 1256.15 <2e-16 ***
DESTIN_HEX809 15.0393501 0.0520926 288.70 <2e-16 ***
DESTIN_HEX810 15.5958950 0.0376038 414.74 <2e-16 ***
DESTIN_HEX811 16.8717499 0.0124359 1356.69 <2e-16 ***
DESTIN_HEX812 15.1512605 0.0228004 664.52 <2e-16 ***
DESTIN_HEX813 14.4701481 0.0596851 242.44 <2e-16 ***
DESTIN_HEX814 15.9814772 0.0210272 760.04 <2e-16 ***
DESTIN_HEX815 14.1562782 0.0566460 249.91 <2e-16 ***
DESTIN_HEX816 15.6793168 0.0190771 821.89 <2e-16 ***
DESTIN_HEX817 17.5091871 0.0097394 1797.77 <2e-16 ***
DESTIN_HEX818 18.3430542 0.0072231 2539.51 <2e-16 ***
DESTIN_HEX819 17.0916111 0.0109127 1566.21 <2e-16 ***
DESTIN_HEX820 18.2838035 0.0120162 1521.60 <2e-16 ***
DESTIN_HEX821 18.1349525 0.0066914 2710.20 <2e-16 ***
DESTIN_HEX822 16.8588567 0.0112941 1492.72 <2e-16 ***
DESTIN_HEX823 16.7019827 0.0133743 1248.81 <2e-16 ***
DESTIN_HEX824 16.2252957 0.0185038 876.86 <2e-16 ***
DESTIN_HEX825 17.2824657 0.0179612 962.21 <2e-16 ***
DESTIN_HEX826 16.7618739 0.0162685 1030.33 <2e-16 ***
DESTIN_HEX827 16.3371900 0.0173212 943.19 <2e-16 ***
DESTIN_HEX828 14.6582391 0.0453565 323.18 <2e-16 ***
DESTIN_HEX829 16.6844285 0.0316196 527.66 <2e-16 ***
DESTIN_HEX830 17.1776462 0.0131462 1306.66 <2e-16 ***
DESTIN_HEX831 16.0641959 0.0589668 272.43 <2e-16 ***
log(P_BUSINESS_COUNT) -0.0072523 0.0001856 -39.08 <2e-16 ***
log(P_MRT_EXIT_COUNT) 0.4958807 0.0003921 1264.79 <2e-16 ***
log(P_FINSERV_COUNT) 0.2948417 0.0002426 1215.21 <2e-16 ***
log(dist) -1.5435141 0.0002644 -5837.79 <2e-16 ***
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
(Dispersion parameter for poisson family taken to be 1)
Null deviance: 317392316 on 67737 degrees of freedom
Residual deviance: 32204254 on 66917 degrees of freedom
AIC: 32576287
Number of Fisher Scoring iterations: 7
- In case R/Quarto crashes, we add a copy of relevant coefficient readouts here for
decSIM
:
Coefficients:
Estimate Std. Error z value Pr(>|z|)
log(P_BUSINESS_COUNT) -0.0072523 0.0001856 -39.08 <2e-16 ***
log(P_MRT_EXIT_COUNT) 0.4958807 0.0003921 1264.79 <2e-16 ***
log(P_FINSERV_COUNT) 0.2948417 0.0002426 1215.21 <2e-16 ***
log(dist) -1.5435141 0.0002644 -5837.79 <2e-16 ***
4.5c Commentary on decSIM
- Once again, we compare the size of the coefficients to assess the impact of the explanatory factors;
- As above, the decay factor,
log(dist)
, is clearly a strong determinant of the number of trips, with -1.54 - Similar to the above, we see
MRT_EXIT_COUNT
followed byFINSERV_COUNT
having high coefficient values. BUSINESS_COUNT
shows an extremely small (<0.01) value, again suggesting that it not relevant or misaligned.
- As above, the decay factor,
show code
CalcRSquared(decSIM$data$SUM_TRIPS, decSIM$fitted.values)
[1] 0.4157096
- The R-squared value of 0.4157 is not great, but performs better than the unconstrained model.
4.6 Doubly Constrained Spatial Interaction Modelling
- In the Doubly-Constrained SIM, we eliminate all variables and focus only on the identities of the origin and destination hexagons.
show code
<- glm(formula = SUM_TRIPS ~
dbcSIM +
ORIGIN_HEX +
DESTIN_HEXlog(dist),
family = poisson(link = "log"),
data = SIM_data,
na.action = na.exclude)
write_rds(dbcSIM, "data/rds/dbcSIM.rds")
- As before, we read/write to RDS to save space/time.
show code
options(max.print = 10000)
<- read_rds("data/rds/dbcSIM.rds")
dbcSIM summary(dbcSIM)
Call:
glm(formula = SUM_TRIPS ~ ORIGIN_HEX + DESTIN_HEX + log(dist),
family = poisson(link = "log"), data = SIM_data, na.action = na.exclude)
Coefficients:
Estimate Std. Error z value Pr(>|z|)
(Intercept) 15.7559003 0.1016735 154.966 < 2e-16 ***
ORIGIN_HEX2 -1.5409200 0.1066568 -14.447 < 2e-16 ***
ORIGIN_HEX3 -0.0397336 0.0688980 -0.577 0.564141
ORIGIN_HEX4 -0.9158894 0.0771161 -11.877 < 2e-16 ***
ORIGIN_HEX5 1.5678416 0.0543126 28.867 < 2e-16 ***
ORIGIN_HEX6 0.0941121 0.0748847 1.257 0.208840
ORIGIN_HEX7 0.2610398 0.0559956 4.662 3.13e-06 ***
ORIGIN_HEX8 1.0100360 0.0682648 14.796 < 2e-16 ***
ORIGIN_HEX9 1.9064689 0.0539424 35.343 < 2e-16 ***
ORIGIN_HEX10 -2.4801722 0.0971078 -25.540 < 2e-16 ***
ORIGIN_HEX11 0.6000142 0.0674092 8.901 < 2e-16 ***
ORIGIN_HEX12 0.3737291 0.0639781 5.842 5.17e-09 ***
ORIGIN_HEX13 0.6167145 0.0600953 10.262 < 2e-16 ***
ORIGIN_HEX14 2.8641853 0.0550780 52.002 < 2e-16 ***
ORIGIN_HEX15 -0.5687051 0.0623855 -9.116 < 2e-16 ***
ORIGIN_HEX16 2.2178248 0.0613028 36.178 < 2e-16 ***
ORIGIN_HEX17 0.3561286 0.0937947 3.797 0.000147 ***
ORIGIN_HEX18 1.0332597 0.0575943 17.940 < 2e-16 ***
ORIGIN_HEX19 0.2600845 0.0573756 4.533 5.81e-06 ***
ORIGIN_HEX20 0.2080053 0.0566356 3.673 0.000240 ***
ORIGIN_HEX21 0.6627568 0.0554093 11.961 < 2e-16 ***
ORIGIN_HEX22 0.5840346 0.0723249 8.075 6.74e-16 ***
ORIGIN_HEX23 3.0048113 0.0575199 52.240 < 2e-16 ***
ORIGIN_HEX24 0.6656195 0.0624490 10.659 < 2e-16 ***
ORIGIN_HEX25 1.1576190 0.0607937 19.042 < 2e-16 ***
ORIGIN_HEX26 1.4280834 0.0559183 25.539 < 2e-16 ***
ORIGIN_HEX27 1.2677056 0.0545427 23.242 < 2e-16 ***
ORIGIN_HEX28 -1.7146630 0.0677083 -25.324 < 2e-16 ***
ORIGIN_HEX29 2.1617054 0.0600784 35.981 < 2e-16 ***
ORIGIN_HEX30 0.6753658 0.0671990 10.050 < 2e-16 ***
ORIGIN_HEX31 0.4030453 0.0577948 6.974 3.09e-12 ***
ORIGIN_HEX32 0.4887417 0.0564501 8.658 < 2e-16 ***
ORIGIN_HEX33 1.3244119 0.0543231 24.380 < 2e-16 ***
ORIGIN_HEX34 0.6414546 0.0571552 11.223 < 2e-16 ***
ORIGIN_HEX35 0.5258511 0.0553930 9.493 < 2e-16 ***
ORIGIN_HEX36 -0.1688267 0.0748898 -2.254 0.024175 *
ORIGIN_HEX37 0.9113126 0.0585606 15.562 < 2e-16 ***
ORIGIN_HEX38 1.5561843 0.0557161 27.931 < 2e-16 ***
ORIGIN_HEX39 1.3476696 0.0545521 24.704 < 2e-16 ***
ORIGIN_HEX40 0.4095428 0.0712645 5.747 9.09e-09 ***
ORIGIN_HEX41 0.0827913 0.0578444 1.431 0.152351
ORIGIN_HEX42 0.1671422 0.0685756 2.437 0.014796 *
ORIGIN_HEX43 1.4120828 0.0566585 24.923 < 2e-16 ***
ORIGIN_HEX44 -0.1258324 0.0567162 -2.219 0.026512 *
ORIGIN_HEX45 0.9514420 0.0554612 17.155 < 2e-16 ***
ORIGIN_HEX46 3.0989903 0.0553826 55.956 < 2e-16 ***
ORIGIN_HEX47 1.0479735 0.0556963 18.816 < 2e-16 ***
ORIGIN_HEX48 0.6443477 0.0556356 11.582 < 2e-16 ***
ORIGIN_HEX49 -2.0980578 0.1904592 -11.016 < 2e-16 ***
ORIGIN_HEX50 1.1826579 0.0574452 20.588 < 2e-16 ***
ORIGIN_HEX51 0.3812825 0.0572193 6.664 2.67e-11 ***
ORIGIN_HEX52 2.1215576 0.0568046 37.348 < 2e-16 ***
ORIGIN_HEX53 0.8083594 0.0600630 13.459 < 2e-16 ***
ORIGIN_HEX54 0.9240026 0.0561966 16.442 < 2e-16 ***
ORIGIN_HEX55 2.7865749 0.0559360 49.817 < 2e-16 ***
ORIGIN_HEX56 1.5333368 0.0562319 27.268 < 2e-16 ***
ORIGIN_HEX57 0.4781298 0.0562072 8.507 < 2e-16 ***
ORIGIN_HEX58 1.7275205 0.0555553 31.096 < 2e-16 ***
ORIGIN_HEX59 1.0531071 0.0546338 19.276 < 2e-16 ***
ORIGIN_HEX60 2.4640579 0.0547369 45.016 < 2e-16 ***
ORIGIN_HEX61 0.1828847 0.0560806 3.261 0.001110 **
ORIGIN_HEX62 0.6239314 0.0555143 11.239 < 2e-16 ***
ORIGIN_HEX63 2.0160311 0.0567892 35.500 < 2e-16 ***
ORIGIN_HEX64 1.6899114 0.0552734 30.574 < 2e-16 ***
ORIGIN_HEX65 2.5242097 0.0539528 46.785 < 2e-16 ***
ORIGIN_HEX66 1.8675626 0.0545127 34.259 < 2e-16 ***
ORIGIN_HEX67 2.8515397 0.0540694 52.738 < 2e-16 ***
ORIGIN_HEX68 -1.0058494 0.0694400 -14.485 < 2e-16 ***
ORIGIN_HEX69 1.0089396 0.0545735 18.488 < 2e-16 ***
ORIGIN_HEX70 -1.1404847 0.0571822 -19.945 < 2e-16 ***
ORIGIN_HEX71 1.5639980 0.0544281 28.735 < 2e-16 ***
ORIGIN_HEX72 0.1182659 0.0574716 2.058 0.039608 *
ORIGIN_HEX73 0.8323854 0.0604422 13.772 < 2e-16 ***
ORIGIN_HEX74 0.1565215 0.0576213 2.716 0.006600 **
ORIGIN_HEX75 0.3768821 0.0549924 6.853 7.21e-12 ***
ORIGIN_HEX76 0.2461855 0.0547842 4.494 7.00e-06 ***
ORIGIN_HEX77 0.4392799 0.0549619 7.992 1.32e-15 ***
ORIGIN_HEX79 1.2201596 0.0549892 22.189 < 2e-16 ***
ORIGIN_HEX80 0.2837113 0.0546371 5.193 2.07e-07 ***
ORIGIN_HEX81 0.8656610 0.0542401 15.960 < 2e-16 ***
ORIGIN_HEX82 1.2238815 0.0551106 22.208 < 2e-16 ***
ORIGIN_HEX84 0.8079114 0.0599259 13.482 < 2e-16 ***
ORIGIN_HEX85 -2.5170172 0.1361200 -18.491 < 2e-16 ***
ORIGIN_HEX86 1.0446819 0.0545286 19.158 < 2e-16 ***
ORIGIN_HEX87 -0.3640572 0.0548467 -6.638 3.19e-11 ***
ORIGIN_HEX88 -1.1058765 0.0659227 -16.775 < 2e-16 ***
ORIGIN_HEX89 -0.1346777 0.0599373 -2.247 0.024642 *
ORIGIN_HEX90 1.8223675 0.0554342 32.874 < 2e-16 ***
ORIGIN_HEX91 1.7111944 0.0545603 31.363 < 2e-16 ***
ORIGIN_HEX92 0.3780403 0.0545118 6.935 4.06e-12 ***
ORIGIN_HEX93 0.9859947 0.0540790 18.232 < 2e-16 ***
ORIGIN_HEX94 1.1943208 0.0546044 21.872 < 2e-16 ***
ORIGIN_HEX95 0.9780519 0.0554962 17.624 < 2e-16 ***
ORIGIN_HEX96 -1.9087480 0.0904698 -21.098 < 2e-16 ***
ORIGIN_HEX97 0.5285691 0.0629227 8.400 < 2e-16 ***
ORIGIN_HEX98 2.4504994 0.0544691 44.989 < 2e-16 ***
ORIGIN_HEX99 0.6435635 0.0547315 11.759 < 2e-16 ***
ORIGIN_HEX100 1.6797948 0.0539442 31.139 < 2e-16 ***
ORIGIN_HEX101 1.1200200 0.0541175 20.696 < 2e-16 ***
ORIGIN_HEX102 0.5698782 0.0561676 10.146 < 2e-16 ***
ORIGIN_HEX103 -1.2202911 0.0747230 -16.331 < 2e-16 ***
ORIGIN_HEX104 -1.0041655 0.0747640 -13.431 < 2e-16 ***
ORIGIN_HEX105 -2.5475852 1.0017118 -2.543 0.010983 *
ORIGIN_HEX106 0.7480838 0.0590086 12.678 < 2e-16 ***
ORIGIN_HEX107 1.4274940 0.0553827 25.775 < 2e-16 ***
ORIGIN_HEX108 -0.3135901 0.0548244 -5.720 1.07e-08 ***
ORIGIN_HEX109 0.2897064 0.0541981 5.345 9.03e-08 ***
ORIGIN_HEX110 1.0833579 0.0544991 19.878 < 2e-16 ***
ORIGIN_HEX111 -1.2677977 0.0782016 -16.212 < 2e-16 ***
ORIGIN_HEX112 1.5208536 0.0565107 26.913 < 2e-16 ***
ORIGIN_HEX114 0.1728181 0.0667586 2.589 0.009634 **
ORIGIN_HEX115 1.3225161 0.0561016 23.574 < 2e-16 ***
ORIGIN_HEX116 -1.2484215 0.0633468 -19.708 < 2e-16 ***
ORIGIN_HEX117 3.5908254 0.0538574 66.673 < 2e-16 ***
ORIGIN_HEX118 0.5823691 0.0541994 10.745 < 2e-16 ***
ORIGIN_HEX119 -3.2426653 0.1149623 -28.206 < 2e-16 ***
ORIGIN_HEX120 0.4038417 0.0620514 6.508 7.61e-11 ***
ORIGIN_HEX121 -2.2911622 0.1822376 -12.572 < 2e-16 ***
ORIGIN_HEX122 0.4664261 0.0658299 7.085 1.39e-12 ***
ORIGIN_HEX123 0.0935258 0.0605722 1.544 0.122579
ORIGIN_HEX124 0.8480768 0.0563720 15.044 < 2e-16 ***
ORIGIN_HEX125 1.0400150 0.0541792 19.196 < 2e-16 ***
ORIGIN_HEX126 0.3577313 0.0541486 6.606 3.94e-11 ***
ORIGIN_HEX127 -0.7494307 0.0596910 -12.555 < 2e-16 ***
ORIGIN_HEX128 -0.7831237 0.0783809 -9.991 < 2e-16 ***
ORIGIN_HEX129 -0.5536653 0.0749793 -7.384 1.53e-13 ***
ORIGIN_HEX130 0.1114559 0.0568868 1.959 0.050083 .
ORIGIN_HEX131 0.7676071 0.0547653 14.016 < 2e-16 ***
ORIGIN_HEX132 -0.5486683 0.0552788 -9.925 < 2e-16 ***
ORIGIN_HEX133 0.8850516 0.0541048 16.358 < 2e-16 ***
ORIGIN_HEX134 -0.2254220 0.0562229 -4.009 6.09e-05 ***
ORIGIN_HEX135 0.2123270 0.0551506 3.850 0.000118 ***
ORIGIN_HEX136 0.7893713 0.0540906 14.594 < 2e-16 ***
ORIGIN_HEX137 1.6652037 0.0544164 30.601 < 2e-16 ***
ORIGIN_HEX138 1.0698700 0.0541931 19.742 < 2e-16 ***
ORIGIN_HEX139 0.4759447 0.0542659 8.771 < 2e-16 ***
ORIGIN_HEX140 1.3549069 0.0540014 25.090 < 2e-16 ***
ORIGIN_HEX141 1.3243451 0.0547420 24.192 < 2e-16 ***
ORIGIN_HEX142 1.6386169 0.0550970 29.741 < 2e-16 ***
ORIGIN_HEX143 -0.7869679 0.0581462 -13.534 < 2e-16 ***
ORIGIN_HEX144 1.4242145 0.0540683 26.341 < 2e-16 ***
ORIGIN_HEX145 2.5393018 0.0539109 47.102 < 2e-16 ***
ORIGIN_HEX146 -0.5931103 0.0560413 -10.583 < 2e-16 ***
ORIGIN_HEX147 1.0635640 0.0547780 19.416 < 2e-16 ***
ORIGIN_HEX148 0.8424963 0.0543000 15.516 < 2e-16 ***
ORIGIN_HEX149 -0.3863547 0.0550897 -7.013 2.33e-12 ***
ORIGIN_HEX150 1.1933134 0.0540392 22.082 < 2e-16 ***
ORIGIN_HEX151 0.2683940 0.0549971 4.880 1.06e-06 ***
ORIGIN_HEX152 -0.7737403 0.0557602 -13.876 < 2e-16 ***
ORIGIN_HEX154 -1.7484790 0.0605824 -28.861 < 2e-16 ***
ORIGIN_HEX156 1.4500581 0.0545576 26.578 < 2e-16 ***
ORIGIN_HEX157 -1.6484617 0.0578324 -28.504 < 2e-16 ***
ORIGIN_HEX158 0.6668361 0.0541913 12.305 < 2e-16 ***
ORIGIN_HEX160 1.7068362 0.0547318 31.185 < 2e-16 ***
ORIGIN_HEX161 0.8706913 0.0545982 15.947 < 2e-16 ***
ORIGIN_HEX162 -1.1850043 0.0572101 -20.713 < 2e-16 ***
ORIGIN_HEX163 1.6391136 0.0539757 30.368 < 2e-16 ***
ORIGIN_HEX164 0.4205912 0.0545428 7.711 1.25e-14 ***
ORIGIN_HEX165 0.9566107 0.0542003 17.650 < 2e-16 ***
ORIGIN_HEX166 -0.9823996 0.0691708 -14.203 < 2e-16 ***
ORIGIN_HEX167 -1.6194795 0.0583471 -27.756 < 2e-16 ***
ORIGIN_HEX168 0.8137326 0.0541046 15.040 < 2e-16 ***
ORIGIN_HEX169 0.2473506 0.0542524 4.559 5.13e-06 ***
ORIGIN_HEX170 0.4712530 0.0545865 8.633 < 2e-16 ***
ORIGIN_HEX171 -0.1561789 0.0547364 -2.853 0.004327 **
ORIGIN_HEX172 -0.9857145 0.0558144 -17.661 < 2e-16 ***
ORIGIN_HEX173 0.2520185 0.0568685 4.432 9.35e-06 ***
ORIGIN_HEX174 1.3517378 0.0542657 24.910 < 2e-16 ***
ORIGIN_HEX175 2.4635121 0.0539234 45.685 < 2e-16 ***
ORIGIN_HEX176 0.4790719 0.0542050 8.838 < 2e-16 ***
ORIGIN_HEX177 0.9916155 0.0542279 18.286 < 2e-16 ***
ORIGIN_HEX178 -1.0378052 0.0575237 -18.041 < 2e-16 ***
ORIGIN_HEX179 0.5722746 0.0541271 10.573 < 2e-16 ***
ORIGIN_HEX180 0.0803225 0.0545237 1.473 0.140706
ORIGIN_HEX181 -0.1621574 0.0602223 -2.693 0.007089 **
ORIGIN_HEX182 1.0896311 0.0555709 19.608 < 2e-16 ***
ORIGIN_HEX183 0.6025186 0.0542789 11.100 < 2e-16 ***
ORIGIN_HEX184 1.1230365 0.0540822 20.765 < 2e-16 ***
ORIGIN_HEX185 0.8338447 0.0540782 15.419 < 2e-16 ***
ORIGIN_HEX186 0.3428850 0.0544452 6.298 3.02e-10 ***
ORIGIN_HEX187 -0.2838555 0.0547229 -5.187 2.14e-07 ***
ORIGIN_HEX188 2.6462044 0.0539154 49.081 < 2e-16 ***
ORIGIN_HEX189 1.9148302 0.0540316 35.439 < 2e-16 ***
ORIGIN_HEX190 -0.1236346 0.0585769 -2.111 0.034803 *
ORIGIN_HEX191 0.3127081 0.0586153 5.335 9.56e-08 ***
ORIGIN_HEX192 0.7422158 0.0543572 13.654 < 2e-16 ***
ORIGIN_HEX193 1.7533305 0.0540176 32.459 < 2e-16 ***
ORIGIN_HEX194 0.5686533 0.0541878 10.494 < 2e-16 ***
ORIGIN_HEX195 -0.7013357 0.0548483 -12.787 < 2e-16 ***
ORIGIN_HEX196 0.5084124 0.0541899 9.382 < 2e-16 ***
ORIGIN_HEX197 0.3860394 0.0541648 7.127 1.02e-12 ***
ORIGIN_HEX198 -0.1222092 0.0545517 -2.240 0.025075 *
ORIGIN_HEX199 1.4976895 0.0543255 27.569 < 2e-16 ***
ORIGIN_HEX200 0.5317521 0.0564366 9.422 < 2e-16 ***
ORIGIN_HEX201 -0.0303418 0.0572309 -0.530 0.595998
ORIGIN_HEX202 -0.1649111 0.0594043 -2.776 0.005502 **
ORIGIN_HEX203 1.4325722 0.0549935 26.050 < 2e-16 ***
ORIGIN_HEX204 1.7953233 0.0541055 33.182 < 2e-16 ***
ORIGIN_HEX205 1.6352252 0.0541353 30.206 < 2e-16 ***
ORIGIN_HEX206 2.3671826 0.0541386 43.725 < 2e-16 ***
ORIGIN_HEX207 2.3450642 0.0539179 43.493 < 2e-16 ***
ORIGIN_HEX208 1.9010542 0.0540415 35.178 < 2e-16 ***
ORIGIN_HEX209 -0.1908176 0.0545316 -3.499 0.000467 ***
ORIGIN_HEX210 -1.0527908 0.0556263 -18.926 < 2e-16 ***
ORIGIN_HEX211 -0.8287908 0.0550139 -15.065 < 2e-16 ***
ORIGIN_HEX212 -1.0085835 0.0638561 -15.795 < 2e-16 ***
ORIGIN_HEX213 -1.4610903 0.0616040 -23.717 < 2e-16 ***
ORIGIN_HEX214 -1.0196868 0.0608762 -16.750 < 2e-16 ***
ORIGIN_HEX215 0.6202197 0.0546955 11.339 < 2e-16 ***
ORIGIN_HEX216 0.2087047 0.0548400 3.806 0.000141 ***
ORIGIN_HEX217 0.0812283 0.0551795 1.472 0.141001
ORIGIN_HEX218 1.2601771 0.0540711 23.306 < 2e-16 ***
ORIGIN_HEX219 -0.3911915 0.0559731 -6.989 2.77e-12 ***
ORIGIN_HEX220 0.8927373 0.0540609 16.514 < 2e-16 ***
ORIGIN_HEX221 -0.7741322 0.0552370 -14.015 < 2e-16 ***
ORIGIN_HEX222 0.2963917 0.0548202 5.407 6.42e-08 ***
ORIGIN_HEX223 -2.3734654 0.0678458 -34.983 < 2e-16 ***
ORIGIN_HEX224 -1.2451153 0.0577994 -21.542 < 2e-16 ***
ORIGIN_HEX225 0.5466840 0.0558243 9.793 < 2e-16 ***
ORIGIN_HEX226 1.7542897 0.0548914 31.959 < 2e-16 ***
ORIGIN_HEX227 0.8051852 0.0542204 14.850 < 2e-16 ***
ORIGIN_HEX228 -0.6742056 0.0558257 -12.077 < 2e-16 ***
ORIGIN_HEX229 1.9920943 0.0540107 36.883 < 2e-16 ***
ORIGIN_HEX230 0.5146432 0.0542653 9.484 < 2e-16 ***
ORIGIN_HEX231 0.1554827 0.0542578 2.866 0.004162 **
ORIGIN_HEX232 1.7586037 0.0541433 32.481 < 2e-16 ***
ORIGIN_HEX233 -1.8322352 0.0600326 -30.521 < 2e-16 ***
ORIGIN_HEX234 -1.0814652 0.0565257 -19.132 < 2e-16 ***
ORIGIN_HEX235 -0.3868867 0.0571436 -6.770 1.28e-11 ***
ORIGIN_HEX236 0.8724881 0.0542160 16.093 < 2e-16 ***
ORIGIN_HEX237 2.2724387 0.0539353 42.133 < 2e-16 ***
ORIGIN_HEX238 0.1250946 0.0551107 2.270 0.023215 *
ORIGIN_HEX239 -0.9797614 0.0627274 -15.619 < 2e-16 ***
ORIGIN_HEX240 0.7774071 0.0543763 14.297 < 2e-16 ***
ORIGIN_HEX241 -0.8396563 0.0556064 -15.100 < 2e-16 ***
ORIGIN_HEX242 2.5960893 0.0539091 48.157 < 2e-16 ***
ORIGIN_HEX243 -4.0828742 0.2034499 -20.068 < 2e-16 ***
ORIGIN_HEX244 2.3867985 0.0540095 44.192 < 2e-16 ***
ORIGIN_HEX245 -2.1291171 0.0598941 -35.548 < 2e-16 ***
ORIGIN_HEX246 0.3250465 0.0552480 5.883 4.02e-09 ***
ORIGIN_HEX247 2.0170351 0.0540785 37.298 < 2e-16 ***
ORIGIN_HEX248 2.9930875 0.0539086 55.522 < 2e-16 ***
ORIGIN_HEX249 1.1242953 0.0545393 20.614 < 2e-16 ***
ORIGIN_HEX250 0.4487152 0.0548861 8.175 2.95e-16 ***
ORIGIN_HEX251 -1.4073073 0.0573474 -24.540 < 2e-16 ***
ORIGIN_HEX252 1.4660599 0.0540686 27.115 < 2e-16 ***
ORIGIN_HEX253 -0.6818614 0.0549166 -12.416 < 2e-16 ***
ORIGIN_HEX254 -0.1172161 0.0545264 -2.150 0.031578 *
ORIGIN_HEX255 0.2916461 0.0575504 5.068 4.03e-07 ***
ORIGIN_HEX256 -0.9923803 0.0555537 -17.863 < 2e-16 ***
ORIGIN_HEX258 1.6143579 0.0541353 29.821 < 2e-16 ***
ORIGIN_HEX259 1.3734596 0.0540467 25.412 < 2e-16 ***
ORIGIN_HEX260 0.8459007 0.0542287 15.599 < 2e-16 ***
ORIGIN_HEX262 0.2976836 0.0547735 5.435 5.49e-08 ***
ORIGIN_HEX263 -0.8160052 0.0559473 -14.585 < 2e-16 ***
ORIGIN_HEX264 -1.2093903 0.0560767 -21.567 < 2e-16 ***
ORIGIN_HEX265 0.4351736 0.0541697 8.034 9.47e-16 ***
ORIGIN_HEX266 0.0631437 0.0547802 1.153 0.249045
ORIGIN_HEX267 -1.1941104 0.0552107 -21.628 < 2e-16 ***
ORIGIN_HEX268 1.9566521 0.0540973 36.169 < 2e-16 ***
ORIGIN_HEX269 1.7898203 0.0541722 33.039 < 2e-16 ***
ORIGIN_HEX270 1.7147656 0.0540909 31.702 < 2e-16 ***
ORIGIN_HEX271 0.0546795 0.0546346 1.001 0.316913
ORIGIN_HEX272 0.2303945 0.0547455 4.208 2.57e-05 ***
ORIGIN_HEX273 1.9605261 0.0540221 36.291 < 2e-16 ***
ORIGIN_HEX274 -0.0413274 0.0550121 -0.751 0.452507
ORIGIN_HEX275 -1.1123448 0.0595298 -18.686 < 2e-16 ***
ORIGIN_HEX276 1.2396413 0.0540867 22.920 < 2e-16 ***
ORIGIN_HEX277 0.2169651 0.0544970 3.981 6.86e-05 ***
ORIGIN_HEX278 0.1501129 0.0575858 2.607 0.009140 **
ORIGIN_HEX279 1.8113697 0.0539889 33.551 < 2e-16 ***
ORIGIN_HEX280 1.1091283 0.0540931 20.504 < 2e-16 ***
ORIGIN_HEX281 0.5244886 0.0558136 9.397 < 2e-16 ***
ORIGIN_HEX282 2.5678070 0.0541437 47.426 < 2e-16 ***
ORIGIN_HEX283 0.5507625 0.0546430 10.079 < 2e-16 ***
ORIGIN_HEX284 -0.3736047 0.0556944 -6.708 1.97e-11 ***
ORIGIN_HEX285 1.4687864 0.0541414 27.129 < 2e-16 ***
ORIGIN_HEX286 1.6528527 0.0540942 30.555 < 2e-16 ***
ORIGIN_HEX287 -0.3130961 0.0554153 -5.650 1.60e-08 ***
ORIGIN_HEX288 0.6675604 0.0542971 12.295 < 2e-16 ***
ORIGIN_HEX289 -0.2535375 0.0552960 -4.585 4.54e-06 ***
ORIGIN_HEX290 0.4168582 0.0542689 7.681 1.57e-14 ***
ORIGIN_HEX291 -2.4703308 0.0630788 -39.163 < 2e-16 ***
ORIGIN_HEX292 1.5342950 0.0542753 28.269 < 2e-16 ***
ORIGIN_HEX293 1.7721482 0.0541066 32.753 < 2e-16 ***
ORIGIN_HEX294 1.9259441 0.0540587 35.627 < 2e-16 ***
ORIGIN_HEX295 2.3873629 0.0539873 44.221 < 2e-16 ***
ORIGIN_HEX296 1.1560498 0.0541499 21.349 < 2e-16 ***
ORIGIN_HEX297 1.3889334 0.0550345 25.238 < 2e-16 ***
ORIGIN_HEX298 0.6790914 0.0541606 12.538 < 2e-16 ***
ORIGIN_HEX299 0.3198846 0.0543112 5.890 3.87e-09 ***
ORIGIN_HEX300 2.1979741 0.0541003 40.628 < 2e-16 ***
ORIGIN_HEX301 1.8569562 0.0541098 34.318 < 2e-16 ***
ORIGIN_HEX302 1.0514104 0.0543454 19.347 < 2e-16 ***
ORIGIN_HEX303 0.4736636 0.0547823 8.646 < 2e-16 ***
ORIGIN_HEX304 -0.5293926 0.0829150 -6.385 1.72e-10 ***
ORIGIN_HEX305 1.6934850 0.0539911 31.366 < 2e-16 ***
ORIGIN_HEX306 0.7143813 0.0544964 13.109 < 2e-16 ***
ORIGIN_HEX307 0.7257183 0.0548886 13.222 < 2e-16 ***
ORIGIN_HEX308 1.8081454 0.0541982 33.362 < 2e-16 ***
ORIGIN_HEX309 0.8887842 0.0543773 16.345 < 2e-16 ***
ORIGIN_HEX310 0.1345031 0.0552391 2.435 0.014895 *
ORIGIN_HEX311 1.5954883 0.0541258 29.477 < 2e-16 ***
ORIGIN_HEX312 -2.0962427 0.0961136 -21.810 < 2e-16 ***
ORIGIN_HEX313 0.3266505 0.0543616 6.009 1.87e-09 ***
ORIGIN_HEX314 -0.1040014 0.0546212 -1.904 0.056904 .
ORIGIN_HEX315 -1.2103393 0.0709727 -17.054 < 2e-16 ***
ORIGIN_HEX316 1.1538862 0.0556120 20.749 < 2e-16 ***
ORIGIN_HEX317 2.0986328 0.0552829 37.962 < 2e-16 ***
ORIGIN_HEX318 2.2920786 0.0539939 42.451 < 2e-16 ***
ORIGIN_HEX319 -0.5595526 0.0578300 -9.676 < 2e-16 ***
ORIGIN_HEX320 0.8148614 0.0544024 14.978 < 2e-16 ***
ORIGIN_HEX321 2.7703892 0.0546298 50.712 < 2e-16 ***
ORIGIN_HEX322 -3.1810337 0.1634823 -19.458 < 2e-16 ***
ORIGIN_HEX323 -0.2457767 0.0560551 -4.385 1.16e-05 ***
ORIGIN_HEX324 3.3165303 0.0539169 61.512 < 2e-16 ***
ORIGIN_HEX325 -1.0335034 0.0575067 -17.972 < 2e-16 ***
ORIGIN_HEX326 1.2893117 0.0544578 23.675 < 2e-16 ***
ORIGIN_HEX327 1.5730987 0.0543700 28.933 < 2e-16 ***
ORIGIN_HEX328 -0.4935902 0.0570936 -8.645 < 2e-16 ***
ORIGIN_HEX329 1.0354126 0.0543978 19.034 < 2e-16 ***
ORIGIN_HEX330 -0.0561596 0.0563219 -0.997 0.318707
ORIGIN_HEX331 0.2179473 0.0543673 4.009 6.10e-05 ***
ORIGIN_HEX332 0.6394973 0.0541783 11.804 < 2e-16 ***
ORIGIN_HEX333 2.0029705 0.0541846 36.966 < 2e-16 ***
ORIGIN_HEX334 2.3818988 0.0540756 44.048 < 2e-16 ***
ORIGIN_HEX335 -0.0276055 0.0568678 -0.485 0.627369
ORIGIN_HEX336 1.0762395 0.0542547 19.837 < 2e-16 ***
ORIGIN_HEX337 1.3729375 0.0542072 25.328 < 2e-16 ***
ORIGIN_HEX338 0.0330126 0.0598152 0.552 0.581010
ORIGIN_HEX339 0.5595861 0.0545575 10.257 < 2e-16 ***
ORIGIN_HEX340 0.4469649 0.0541798 8.250 < 2e-16 ***
ORIGIN_HEX341 0.6408002 0.0543354 11.793 < 2e-16 ***
ORIGIN_HEX343 0.4435320 0.0549750 8.068 7.15e-16 ***
ORIGIN_HEX344 1.0788303 0.0542957 19.870 < 2e-16 ***
ORIGIN_HEX345 2.0960717 0.0540171 38.804 < 2e-16 ***
ORIGIN_HEX346 1.1610644 0.0541677 21.435 < 2e-16 ***
ORIGIN_HEX347 2.0909333 0.0539867 38.731 < 2e-16 ***
ORIGIN_HEX348 1.2947523 0.0542676 23.859 < 2e-16 ***
ORIGIN_HEX349 -1.0395230 0.0798134 -13.024 < 2e-16 ***
ORIGIN_HEX350 2.6442736 0.0539815 48.985 < 2e-16 ***
ORIGIN_HEX351 1.7743698 0.0540994 32.798 < 2e-16 ***
ORIGIN_HEX352 1.6974122 0.0540775 31.388 < 2e-16 ***
ORIGIN_HEX353 0.6048145 0.0545212 11.093 < 2e-16 ***
ORIGIN_HEX354 1.0832182 0.0543801 19.919 < 2e-16 ***
ORIGIN_HEX355 -0.5664280 0.0642923 -8.810 < 2e-16 ***
ORIGIN_HEX356 0.9379921 0.0541633 17.318 < 2e-16 ***
ORIGIN_HEX357 1.0885466 0.0541795 20.091 < 2e-16 ***
ORIGIN_HEX358 1.8171440 0.0542081 33.522 < 2e-16 ***
ORIGIN_HEX360 1.1741360 0.0543770 21.593 < 2e-16 ***
ORIGIN_HEX361 1.3576027 0.0542094 25.044 < 2e-16 ***
ORIGIN_HEX362 1.2244892 0.0543485 22.530 < 2e-16 ***
ORIGIN_HEX363 0.6958626 0.0546125 12.742 < 2e-16 ***
ORIGIN_HEX364 -0.6158302 0.0740306 -8.319 < 2e-16 ***
ORIGIN_HEX365 0.6821482 0.0542817 12.567 < 2e-16 ***
ORIGIN_HEX366 1.2201225 0.0547487 22.286 < 2e-16 ***
ORIGIN_HEX367 1.1411144 0.0548869 20.790 < 2e-16 ***
ORIGIN_HEX368 1.4942588 0.0541847 27.577 < 2e-16 ***
ORIGIN_HEX369 2.0677811 0.0540172 38.280 < 2e-16 ***
ORIGIN_HEX370 0.7188407 0.0554090 12.973 < 2e-16 ***
ORIGIN_HEX371 0.2300126 0.0552359 4.164 3.12e-05 ***
ORIGIN_HEX372 0.9104675 0.0545530 16.690 < 2e-16 ***
ORIGIN_HEX373 -1.2597330 0.0753403 -16.721 < 2e-16 ***
ORIGIN_HEX374 -0.2960239 0.0646327 -4.580 4.65e-06 ***
ORIGIN_HEX375 0.6828273 0.0543181 12.571 < 2e-16 ***
ORIGIN_HEX376 0.9083857 0.0546136 16.633 < 2e-16 ***
ORIGIN_HEX377 -0.0999099 0.0553243 -1.806 0.070934 .
ORIGIN_HEX378 0.7813761 0.0544870 14.341 < 2e-16 ***
ORIGIN_HEX379 1.6049624 0.0541196 29.656 < 2e-16 ***
ORIGIN_HEX380 1.0434770 0.0543769 19.190 < 2e-16 ***
ORIGIN_HEX381 0.2249769 0.0546012 4.120 3.78e-05 ***
ORIGIN_HEX382 1.2854408 0.0542657 23.688 < 2e-16 ***
ORIGIN_HEX383 1.9264901 0.0542243 35.528 < 2e-16 ***
ORIGIN_HEX384 -0.1327029 0.0553412 -2.398 0.016489 *
ORIGIN_HEX385 2.2250455 0.0539773 41.222 < 2e-16 ***
ORIGIN_HEX386 1.0947102 0.0545209 20.079 < 2e-16 ***
ORIGIN_HEX387 0.5884097 0.0549481 10.708 < 2e-16 ***
ORIGIN_HEX388 1.3002595 0.0543466 23.925 < 2e-16 ***
ORIGIN_HEX389 -0.0297500 0.0566134 -0.525 0.599240
ORIGIN_HEX390 -3.3854043 0.1159240 -29.204 < 2e-16 ***
ORIGIN_HEX391 1.3758544 0.0544459 25.270 < 2e-16 ***
ORIGIN_HEX392 1.6249279 0.0540705 30.052 < 2e-16 ***
ORIGIN_HEX393 0.9584140 0.0543458 17.635 < 2e-16 ***
ORIGIN_HEX394 3.1559305 0.0539403 58.508 < 2e-16 ***
ORIGIN_HEX395 2.0938594 0.0540212 38.760 < 2e-16 ***
ORIGIN_HEX396 2.0391211 0.0540356 37.737 < 2e-16 ***
ORIGIN_HEX397 1.2080873 0.0544883 22.172 < 2e-16 ***
ORIGIN_HEX398 -0.7653271 0.0622449 -12.295 < 2e-16 ***
ORIGIN_HEX399 -0.9510339 0.0626550 -15.179 < 2e-16 ***
ORIGIN_HEX400 1.7234481 0.0544083 31.676 < 2e-16 ***
ORIGIN_HEX401 -0.6211507 0.0577103 -10.763 < 2e-16 ***
ORIGIN_HEX402 0.3665753 0.0544876 6.728 1.72e-11 ***
ORIGIN_HEX403 0.5660641 0.0546970 10.349 < 2e-16 ***
ORIGIN_HEX404 1.5968688 0.0541526 29.488 < 2e-16 ***
ORIGIN_HEX405 1.7364034 0.0540349 32.135 < 2e-16 ***
ORIGIN_HEX406 -0.5075736 0.0591567 -8.580 < 2e-16 ***
ORIGIN_HEX407 1.9839171 0.0540717 36.690 < 2e-16 ***
ORIGIN_HEX408 -3.0399522 0.1670545 -18.197 < 2e-16 ***
ORIGIN_HEX409 -0.5753611 0.0567686 -10.135 < 2e-16 ***
ORIGIN_HEX410 -0.2813244 0.0552442 -5.092 3.54e-07 ***
ORIGIN_HEX411 -1.2151141 0.0570630 -21.294 < 2e-16 ***
ORIGIN_HEX412 2.1653222 0.0540027 40.097 < 2e-16 ***
ORIGIN_HEX413 0.3031483 0.0550350 5.508 3.62e-08 ***
ORIGIN_HEX415 0.0942339 0.0550199 1.713 0.086763 .
ORIGIN_HEX416 1.6873176 0.0540711 31.206 < 2e-16 ***
ORIGIN_HEX417 1.5387215 0.0541113 28.436 < 2e-16 ***
ORIGIN_HEX418 1.4956226 0.0541925 27.598 < 2e-16 ***
ORIGIN_HEX419 1.2858544 0.0545812 23.559 < 2e-16 ***
ORIGIN_HEX420 0.5768164 0.0554320 10.406 < 2e-16 ***
ORIGIN_HEX421 -3.5484828 0.2153678 -16.476 < 2e-16 ***
ORIGIN_HEX422 -0.1072006 0.0562997 -1.904 0.056896 .
ORIGIN_HEX423 0.3891511 0.0553714 7.028 2.09e-12 ***
ORIGIN_HEX424 1.9638135 0.0542200 36.219 < 2e-16 ***
ORIGIN_HEX425 -2.7192682 0.0976123 -27.858 < 2e-16 ***
ORIGIN_HEX426 -1.9548209 0.0629729 -31.042 < 2e-16 ***
ORIGIN_HEX427 -1.5675154 0.0588603 -26.631 < 2e-16 ***
ORIGIN_HEX428 1.7041885 0.0540433 31.534 < 2e-16 ***
ORIGIN_HEX429 0.6435584 0.0544599 11.817 < 2e-16 ***
ORIGIN_HEX430 -3.6437285 0.2557484 -14.247 < 2e-16 ***
ORIGIN_HEX431 1.2793841 0.0543641 23.534 < 2e-16 ***
ORIGIN_HEX432 2.7673433 0.0539668 51.279 < 2e-16 ***
ORIGIN_HEX433 1.3315074 0.0541808 24.575 < 2e-16 ***
ORIGIN_HEX434 2.4943708 0.0540048 46.188 < 2e-16 ***
ORIGIN_HEX435 0.3569232 0.0558675 6.389 1.67e-10 ***
ORIGIN_HEX436 0.5232042 0.0547335 9.559 < 2e-16 ***
ORIGIN_HEX437 -0.1121980 0.0555895 -2.018 0.043557 *
ORIGIN_HEX438 0.5331057 0.0548116 9.726 < 2e-16 ***
ORIGIN_HEX439 -0.5579350 0.0572034 -9.754 < 2e-16 ***
ORIGIN_HEX440 0.8342024 0.0543346 15.353 < 2e-16 ***
ORIGIN_HEX441 0.4969960 0.0543399 9.146 < 2e-16 ***
ORIGIN_HEX442 0.2997355 0.0544062 5.509 3.60e-08 ***
ORIGIN_HEX443 1.0301778 0.0543495 18.955 < 2e-16 ***
ORIGIN_HEX444 -1.1995533 0.0632354 -18.970 < 2e-16 ***
ORIGIN_HEX445 0.5265164 0.0545310 9.655 < 2e-16 ***
ORIGIN_HEX446 0.5438264 0.0545037 9.978 < 2e-16 ***
ORIGIN_HEX447 2.5087415 0.0539582 46.494 < 2e-16 ***
ORIGIN_HEX448 1.0885654 0.0546055 19.935 < 2e-16 ***
ORIGIN_HEX449 0.5490340 0.0547192 10.034 < 2e-16 ***
ORIGIN_HEX450 -1.6303420 0.0651132 -25.039 < 2e-16 ***
ORIGIN_HEX451 -0.1867237 0.0555033 -3.364 0.000768 ***
ORIGIN_HEX452 1.2684516 0.0545972 23.233 < 2e-16 ***
ORIGIN_HEX453 -0.1334606 0.0564010 -2.366 0.017968 *
ORIGIN_HEX455 -2.3819096 0.0689882 -34.526 < 2e-16 ***
ORIGIN_HEX456 2.5814661 0.0539480 47.851 < 2e-16 ***
ORIGIN_HEX457 2.2679416 0.0539711 42.021 < 2e-16 ***
ORIGIN_HEX458 1.5970535 0.0541425 29.497 < 2e-16 ***
ORIGIN_HEX459 -1.6756871 0.0604010 -27.743 < 2e-16 ***
ORIGIN_HEX460 1.2933015 0.0542079 23.858 < 2e-16 ***
ORIGIN_HEX461 0.8317864 0.0543681 15.299 < 2e-16 ***
ORIGIN_HEX462 1.2162690 0.0542266 22.429 < 2e-16 ***
ORIGIN_HEX463 1.4396789 0.0542131 26.556 < 2e-16 ***
ORIGIN_HEX464 0.9346550 0.0557091 16.777 < 2e-16 ***
ORIGIN_HEX465 0.0433802 0.0551456 0.787 0.431487
ORIGIN_HEX466 1.1663129 0.0542396 21.503 < 2e-16 ***
ORIGIN_HEX467 1.0092184 0.0542632 18.599 < 2e-16 ***
ORIGIN_HEX468 1.4415826 0.0541560 26.619 < 2e-16 ***
ORIGIN_HEX469 0.6463047 0.0545366 11.851 < 2e-16 ***
ORIGIN_HEX470 0.3577836 0.0554957 6.447 1.14e-10 ***
ORIGIN_HEX471 -0.2856664 0.0552653 -5.169 2.35e-07 ***
ORIGIN_HEX472 1.5472149 0.0540206 28.641 < 2e-16 ***
ORIGIN_HEX473 0.9196528 0.0541956 16.969 < 2e-16 ***
ORIGIN_HEX474 0.6338854 0.0571773 11.086 < 2e-16 ***
ORIGIN_HEX475 2.0715935 0.0540108 38.355 < 2e-16 ***
ORIGIN_HEX476 1.1730026 0.0542748 21.612 < 2e-16 ***
ORIGIN_HEX477 2.5002137 0.0539568 46.337 < 2e-16 ***
ORIGIN_HEX478 1.8949510 0.0540644 35.050 < 2e-16 ***
ORIGIN_HEX479 1.0023166 0.0542266 18.484 < 2e-16 ***
ORIGIN_HEX480 1.1998655 0.0542200 22.130 < 2e-16 ***
ORIGIN_HEX481 0.9602275 0.0543210 17.677 < 2e-16 ***
ORIGIN_HEX482 1.0187323 0.0541874 18.800 < 2e-16 ***
ORIGIN_HEX483 0.9074964 0.0542504 16.728 < 2e-16 ***
ORIGIN_HEX484 0.8623485 0.0543836 15.857 < 2e-16 ***
ORIGIN_HEX485 0.5687003 0.0544175 10.451 < 2e-16 ***
ORIGIN_HEX486 1.6947123 0.0540736 31.341 < 2e-16 ***
ORIGIN_HEX487 1.9516424 0.0540724 36.093 < 2e-16 ***
ORIGIN_HEX488 2.7715237 0.0539433 51.378 < 2e-16 ***
ORIGIN_HEX489 1.9731824 0.0540016 36.539 < 2e-16 ***
ORIGIN_HEX490 1.4059409 0.0544586 25.817 < 2e-16 ***
ORIGIN_HEX491 2.1722119 0.0540127 40.217 < 2e-16 ***
ORIGIN_HEX492 1.4564058 0.0540832 26.929 < 2e-16 ***
ORIGIN_HEX493 -0.4290115 0.0560367 -7.656 1.92e-14 ***
ORIGIN_HEX494 1.1120903 0.0542058 20.516 < 2e-16 ***
ORIGIN_HEX495 1.5931077 0.0540251 29.488 < 2e-16 ***
ORIGIN_HEX496 2.1473927 0.0539988 39.767 < 2e-16 ***
ORIGIN_HEX497 1.7766505 0.0541651 32.801 < 2e-16 ***
ORIGIN_HEX498 -0.1752863 0.0551833 -3.176 0.001491 **
ORIGIN_HEX499 1.1902205 0.0541934 21.962 < 2e-16 ***
ORIGIN_HEX500 1.9426299 0.0542298 35.822 < 2e-16 ***
ORIGIN_HEX501 2.4484861 0.0539682 45.369 < 2e-16 ***
ORIGIN_HEX502 1.7980256 0.0540436 33.270 < 2e-16 ***
ORIGIN_HEX503 1.2486453 0.0544872 22.916 < 2e-16 ***
ORIGIN_HEX504 1.0369700 0.0544240 19.054 < 2e-16 ***
ORIGIN_HEX505 1.5429791 0.0541176 28.512 < 2e-16 ***
ORIGIN_HEX506 1.4959847 0.0540738 27.666 < 2e-16 ***
ORIGIN_HEX507 2.8469697 0.0539322 52.788 < 2e-16 ***
ORIGIN_HEX508 0.5126847 0.0543289 9.437 < 2e-16 ***
ORIGIN_HEX509 1.0027774 0.0541463 18.520 < 2e-16 ***
ORIGIN_HEX510 1.1089776 0.0543743 20.395 < 2e-16 ***
ORIGIN_HEX511 1.2665111 0.0542208 23.358 < 2e-16 ***
ORIGIN_HEX512 0.8817749 0.0544965 16.180 < 2e-16 ***
ORIGIN_HEX513 0.8165638 0.0546224 14.949 < 2e-16 ***
ORIGIN_HEX514 2.0593149 0.0540222 38.120 < 2e-16 ***
ORIGIN_HEX515 2.3918912 0.0539524 44.333 < 2e-16 ***
ORIGIN_HEX516 2.4966152 0.0539692 46.260 < 2e-16 ***
ORIGIN_HEX517 1.2606466 0.0542562 23.235 < 2e-16 ***
ORIGIN_HEX518 3.0133974 0.0539133 55.893 < 2e-16 ***
ORIGIN_HEX519 0.7762722 0.0542380 14.312 < 2e-16 ***
ORIGIN_HEX520 0.3494054 0.0544123 6.421 1.35e-10 ***
ORIGIN_HEX521 3.1037324 0.0539124 57.570 < 2e-16 ***
ORIGIN_HEX522 0.8693452 0.0542933 16.012 < 2e-16 ***
ORIGIN_HEX523 1.9051467 0.0541681 35.171 < 2e-16 ***
ORIGIN_HEX524 0.5177267 0.0545600 9.489 < 2e-16 ***
ORIGIN_HEX525 1.9481755 0.0541831 35.955 < 2e-16 ***
ORIGIN_HEX526 1.5942155 0.0540818 29.478 < 2e-16 ***
ORIGIN_HEX527 2.4858492 0.0539456 46.081 < 2e-16 ***
ORIGIN_HEX528 1.8617003 0.0540759 34.428 < 2e-16 ***
ORIGIN_HEX529 1.4986793 0.0541004 27.702 < 2e-16 ***
ORIGIN_HEX530 1.2595467 0.0540852 23.288 < 2e-16 ***
ORIGIN_HEX531 1.1250708 0.0545187 20.636 < 2e-16 ***
ORIGIN_HEX532 1.4701635 0.0540462 27.202 < 2e-16 ***
ORIGIN_HEX533 1.4623829 0.0540621 27.050 < 2e-16 ***
ORIGIN_HEX534 -3.6389615 0.1032524 -35.243 < 2e-16 ***
ORIGIN_HEX536 1.8760853 0.0542197 34.602 < 2e-16 ***
ORIGIN_HEX537 2.2916461 0.0539808 42.453 < 2e-16 ***
ORIGIN_HEX538 1.3413458 0.0542303 24.734 < 2e-16 ***
ORIGIN_HEX539 0.7935098 0.0544570 14.571 < 2e-16 ***
ORIGIN_HEX540 0.9959408 0.0543929 18.310 < 2e-16 ***
ORIGIN_HEX541 0.7276307 0.0542545 13.411 < 2e-16 ***
ORIGIN_HEX542 0.5290738 0.0544414 9.718 < 2e-16 ***
ORIGIN_HEX543 1.2509968 0.0541195 23.115 < 2e-16 ***
ORIGIN_HEX544 1.6230094 0.0544355 29.815 < 2e-16 ***
ORIGIN_HEX545 0.4824413 0.0550650 8.761 < 2e-16 ***
ORIGIN_HEX546 -1.2981126 0.0615196 -21.101 < 2e-16 ***
ORIGIN_HEX547 1.2260598 0.0657169 18.657 < 2e-16 ***
ORIGIN_HEX548 1.1354720 0.0550921 20.610 < 2e-16 ***
ORIGIN_HEX549 1.5846472 0.0541752 29.250 < 2e-16 ***
ORIGIN_HEX550 1.8549807 0.0540258 34.335 < 2e-16 ***
ORIGIN_HEX551 1.7066821 0.0540317 31.587 < 2e-16 ***
ORIGIN_HEX552 0.9672554 0.0542157 17.841 < 2e-16 ***
ORIGIN_HEX553 1.9968107 0.0542611 36.800 < 2e-16 ***
ORIGIN_HEX554 0.3081377 0.0551044 5.592 2.25e-08 ***
ORIGIN_HEX555 0.0215785 0.0597883 0.361 0.718163
ORIGIN_HEX556 1.0656496 0.0544230 19.581 < 2e-16 ***
ORIGIN_HEX557 0.2454067 0.0558793 4.392 1.12e-05 ***
ORIGIN_HEX558 0.5181032 0.0739238 7.009 2.41e-12 ***
ORIGIN_HEX559 1.4244799 0.0547956 25.996 < 2e-16 ***
ORIGIN_HEX560 0.4007888 0.0567635 7.061 1.66e-12 ***
ORIGIN_HEX561 1.9715720 0.0540006 36.510 < 2e-16 ***
ORIGIN_HEX562 2.0713285 0.0539940 38.362 < 2e-16 ***
ORIGIN_HEX563 1.2262357 0.0542692 22.595 < 2e-16 ***
ORIGIN_HEX564 -0.9225192 0.0573685 -16.081 < 2e-16 ***
ORIGIN_HEX565 0.3038971 0.0545483 5.571 2.53e-08 ***
ORIGIN_HEX566 0.2880001 0.0546587 5.269 1.37e-07 ***
ORIGIN_HEX567 0.9406782 0.0543180 17.318 < 2e-16 ***
ORIGIN_HEX568 -0.5516477 0.0563606 -9.788 < 2e-16 ***
ORIGIN_HEX569 -0.7759178 0.0586885 -13.221 < 2e-16 ***
ORIGIN_HEX570 0.5800211 0.0555466 10.442 < 2e-16 ***
ORIGIN_HEX571 -2.1849695 0.2076723 -10.521 < 2e-16 ***
ORIGIN_HEX572 0.4891397 0.0559027 8.750 < 2e-16 ***
ORIGIN_HEX573 1.3633474 0.0541172 25.192 < 2e-16 ***
ORIGIN_HEX574 1.7932727 0.0540079 33.204 < 2e-16 ***
ORIGIN_HEX575 -0.4398635 0.0599317 -7.339 2.15e-13 ***
ORIGIN_HEX576 -0.2353662 0.0554002 -4.248 2.15e-05 ***
ORIGIN_HEX577 1.1147843 0.0543317 20.518 < 2e-16 ***
ORIGIN_HEX578 1.4258316 0.0541271 26.342 < 2e-16 ***
ORIGIN_HEX579 -1.2630723 0.0618733 -20.414 < 2e-16 ***
ORIGIN_HEX580 0.5709000 0.0556462 10.259 < 2e-16 ***
ORIGIN_HEX581 1.4245012 0.0553227 25.749 < 2e-16 ***
ORIGIN_HEX582 1.3170126 0.0541142 24.338 < 2e-16 ***
ORIGIN_HEX583 1.2532735 0.0542211 23.114 < 2e-16 ***
ORIGIN_HEX584 1.9175801 0.0540248 35.494 < 2e-16 ***
ORIGIN_HEX585 0.1866799 0.0546476 3.416 0.000635 ***
ORIGIN_HEX586 1.1817542 0.0541141 21.838 < 2e-16 ***
ORIGIN_HEX587 0.2571022 0.0555332 4.630 3.66e-06 ***
ORIGIN_HEX588 1.5531992 0.0540518 28.735 < 2e-16 ***
ORIGIN_HEX589 1.2306564 0.0541782 22.715 < 2e-16 ***
ORIGIN_HEX590 1.6752693 0.0541272 30.951 < 2e-16 ***
ORIGIN_HEX591 -0.4805896 0.0611308 -7.862 3.79e-15 ***
ORIGIN_HEX592 1.3433079 0.0551410 24.361 < 2e-16 ***
ORIGIN_HEX593 1.7153165 0.0540279 31.749 < 2e-16 ***
ORIGIN_HEX594 2.3515355 0.0540044 43.543 < 2e-16 ***
ORIGIN_HEX595 1.7067962 0.0540938 31.553 < 2e-16 ***
ORIGIN_HEX596 3.3511340 0.0539091 62.163 < 2e-16 ***
ORIGIN_HEX597 0.0235209 0.0546180 0.431 0.666727
ORIGIN_HEX598 2.0815677 0.0539767 38.564 < 2e-16 ***
ORIGIN_HEX599 -0.2372495 0.0551412 -4.303 1.69e-05 ***
ORIGIN_HEX600 -0.0421622 0.0548478 -0.769 0.442064
ORIGIN_HEX601 -0.8480446 0.0578783 -14.652 < 2e-16 ***
ORIGIN_HEX602 -0.6697885 0.0600371 -11.156 < 2e-16 ***
ORIGIN_HEX603 1.4162987 0.0540954 26.182 < 2e-16 ***
ORIGIN_HEX604 0.5466374 0.0550286 9.934 < 2e-16 ***
ORIGIN_HEX605 1.2620514 0.0542097 23.281 < 2e-16 ***
ORIGIN_HEX606 1.0506117 0.0545086 19.274 < 2e-16 ***
ORIGIN_HEX607 0.8804998 0.0541740 16.253 < 2e-16 ***
ORIGIN_HEX608 0.7871909 0.0541848 14.528 < 2e-16 ***
ORIGIN_HEX609 1.6029020 0.0540153 29.675 < 2e-16 ***
ORIGIN_HEX610 0.9036601 0.0542962 16.643 < 2e-16 ***
ORIGIN_HEX611 -1.8734458 0.0810430 -23.117 < 2e-16 ***
ORIGIN_HEX612 1.9818314 0.0539979 36.702 < 2e-16 ***
ORIGIN_HEX613 1.7662810 0.0540404 32.684 < 2e-16 ***
ORIGIN_HEX614 1.1587980 0.0551253 21.021 < 2e-16 ***
ORIGIN_HEX615 0.8919313 0.0542354 16.446 < 2e-16 ***
ORIGIN_HEX616 1.2903755 0.0540572 23.871 < 2e-16 ***
ORIGIN_HEX617 1.4267212 0.0544867 26.185 < 2e-16 ***
ORIGIN_HEX618 0.4032026 0.0547233 7.368 1.73e-13 ***
ORIGIN_HEX619 0.8554411 0.0552397 15.486 < 2e-16 ***
ORIGIN_HEX620 1.1712947 0.0542014 21.610 < 2e-16 ***
ORIGIN_HEX621 0.9908038 0.0542467 18.265 < 2e-16 ***
ORIGIN_HEX622 1.5647875 0.0542550 28.841 < 2e-16 ***
ORIGIN_HEX623 0.9682889 0.0542463 17.850 < 2e-16 ***
ORIGIN_HEX624 -0.4102225 0.0554043 -7.404 1.32e-13 ***
ORIGIN_HEX625 -0.3534166 0.0551231 -6.411 1.44e-10 ***
ORIGIN_HEX626 1.0163502 0.0541158 18.781 < 2e-16 ***
ORIGIN_HEX627 -0.3263927 0.0553475 -5.897 3.70e-09 ***
ORIGIN_HEX628 1.1308363 0.0543662 20.800 < 2e-16 ***
ORIGIN_HEX629 0.7940477 0.0542632 14.633 < 2e-16 ***
ORIGIN_HEX630 1.6576411 0.0540834 30.650 < 2e-16 ***
ORIGIN_HEX631 1.8636241 0.0540489 34.480 < 2e-16 ***
ORIGIN_HEX632 1.5542350 0.0541050 28.726 < 2e-16 ***
ORIGIN_HEX633 2.1801872 0.0539815 40.388 < 2e-16 ***
ORIGIN_HEX634 1.2725911 0.0540433 23.548 < 2e-16 ***
ORIGIN_HEX635 -1.1150125 0.0561806 -19.847 < 2e-16 ***
ORIGIN_HEX636 0.8857903 0.0542697 16.322 < 2e-16 ***
ORIGIN_HEX638 1.3407869 0.0541890 24.743 < 2e-16 ***
ORIGIN_HEX639 2.2897568 0.0539726 42.424 < 2e-16 ***
ORIGIN_HEX640 1.8109424 0.0540386 33.512 < 2e-16 ***
ORIGIN_HEX641 0.2323038 0.0550574 4.219 2.45e-05 ***
ORIGIN_HEX642 1.3334769 0.0541295 24.635 < 2e-16 ***
ORIGIN_HEX643 1.1736132 0.0540667 21.707 < 2e-16 ***
ORIGIN_HEX644 0.3890157 0.0542911 7.165 7.76e-13 ***
ORIGIN_HEX645 0.9721927 0.0541251 17.962 < 2e-16 ***
ORIGIN_HEX646 1.0144990 0.0551029 18.411 < 2e-16 ***
ORIGIN_HEX647 0.5946901 0.0545585 10.900 < 2e-16 ***
ORIGIN_HEX648 1.9556178 0.0540012 36.214 < 2e-16 ***
ORIGIN_HEX649 1.5145147 0.0540775 28.006 < 2e-16 ***
ORIGIN_HEX650 1.2533590 0.0542808 23.090 < 2e-16 ***
ORIGIN_HEX651 1.6614731 0.0540425 30.744 < 2e-16 ***
ORIGIN_HEX652 2.5328029 0.0539315 46.963 < 2e-16 ***
ORIGIN_HEX653 1.7046983 0.0539879 31.576 < 2e-16 ***
ORIGIN_HEX654 0.7590416 0.0541824 14.009 < 2e-16 ***
ORIGIN_HEX655 -2.3320123 0.0643196 -36.257 < 2e-16 ***
ORIGIN_HEX657 0.9359905 0.0542865 17.242 < 2e-16 ***
ORIGIN_HEX658 1.0876120 0.0546236 19.911 < 2e-16 ***
ORIGIN_HEX659 1.8036758 0.0541098 33.334 < 2e-16 ***
ORIGIN_HEX660 2.4377883 0.0546337 44.621 < 2e-16 ***
ORIGIN_HEX661 0.8647365 0.0541658 15.965 < 2e-16 ***
ORIGIN_HEX662 0.0743805 0.0544457 1.366 0.171894
ORIGIN_HEX663 2.5827640 0.0539298 47.891 < 2e-16 ***
ORIGIN_HEX664 0.6383398 0.0542491 11.767 < 2e-16 ***
ORIGIN_HEX665 -0.0444679 0.0568371 -0.782 0.433995
ORIGIN_HEX666 2.0428892 0.0540549 37.793 < 2e-16 ***
ORIGIN_HEX667 1.1642894 0.0542707 21.453 < 2e-16 ***
ORIGIN_HEX668 1.3956551 0.0543438 25.682 < 2e-16 ***
ORIGIN_HEX669 1.7016484 0.0541330 31.435 < 2e-16 ***
ORIGIN_HEX670 3.1569263 0.0544551 57.973 < 2e-16 ***
ORIGIN_HEX671 -0.8919988 0.0583233 -15.294 < 2e-16 ***
ORIGIN_HEX672 0.9106754 0.0541997 16.802 < 2e-16 ***
ORIGIN_HEX673 0.7363735 0.0541646 13.595 < 2e-16 ***
ORIGIN_HEX674 1.0042399 0.0540963 18.564 < 2e-16 ***
ORIGIN_HEX675 -0.2816270 0.0549478 -5.125 2.97e-07 ***
ORIGIN_HEX676 -1.4762389 0.0631857 -23.364 < 2e-16 ***
ORIGIN_HEX677 1.0308022 0.0543149 18.978 < 2e-16 ***
ORIGIN_HEX678 2.4889294 0.0539545 46.130 < 2e-16 ***
ORIGIN_HEX679 2.4397587 0.0539674 45.208 < 2e-16 ***
ORIGIN_HEX680 0.2379031 0.0546069 4.357 1.32e-05 ***
ORIGIN_HEX681 0.3958446 0.0542262 7.300 2.88e-13 ***
ORIGIN_HEX682 2.2848738 0.0539500 42.352 < 2e-16 ***
ORIGIN_HEX683 -1.6296765 0.0628115 -25.945 < 2e-16 ***
ORIGIN_HEX684 2.4631655 0.0539936 45.620 < 2e-16 ***
ORIGIN_HEX685 0.8844537 0.0543096 16.285 < 2e-16 ***
ORIGIN_HEX686 1.0147510 0.0542171 18.716 < 2e-16 ***
ORIGIN_HEX687 0.9616715 0.0543567 17.692 < 2e-16 ***
ORIGIN_HEX688 0.8367489 0.0566519 14.770 < 2e-16 ***
ORIGIN_HEX689 0.1469250 0.0546212 2.690 0.007148 **
ORIGIN_HEX690 2.3336208 0.0539557 43.251 < 2e-16 ***
ORIGIN_HEX691 -0.4179951 0.0562456 -7.432 1.07e-13 ***
ORIGIN_HEX692 1.8668524 0.0556823 33.527 < 2e-16 ***
ORIGIN_HEX693 1.1149880 0.0541974 20.573 < 2e-16 ***
ORIGIN_HEX694 1.9252292 0.0540407 35.626 < 2e-16 ***
ORIGIN_HEX695 1.6666248 0.0541108 30.800 < 2e-16 ***
ORIGIN_HEX696 1.8209057 0.0547209 33.276 < 2e-16 ***
ORIGIN_HEX697 0.8945694 0.0556275 16.081 < 2e-16 ***
ORIGIN_HEX698 0.5314385 0.0542698 9.793 < 2e-16 ***
ORIGIN_HEX700 0.9614495 0.0545746 17.617 < 2e-16 ***
ORIGIN_HEX701 -0.5894914 0.0566952 -10.398 < 2e-16 ***
ORIGIN_HEX702 1.1165322 0.0567016 19.691 < 2e-16 ***
ORIGIN_HEX703 1.6128973 0.0541046 29.811 < 2e-16 ***
ORIGIN_HEX704 1.2879081 0.0554688 23.219 < 2e-16 ***
ORIGIN_HEX705 0.6944217 0.0542452 12.802 < 2e-16 ***
ORIGIN_HEX706 0.1976439 0.0561867 3.518 0.000435 ***
ORIGIN_HEX707 1.2431947 0.0542092 22.933 < 2e-16 ***
ORIGIN_HEX708 0.0380684 0.0548177 0.694 0.487397
ORIGIN_HEX709 1.3033402 0.0542763 24.013 < 2e-16 ***
ORIGIN_HEX710 -1.0589971 0.0624066 -16.969 < 2e-16 ***
ORIGIN_HEX711 0.4504306 0.0584350 7.708 1.28e-14 ***
ORIGIN_HEX712 -0.2900228 0.0557174 -5.205 1.94e-07 ***
ORIGIN_HEX714 0.6334662 0.0545212 11.619 < 2e-16 ***
ORIGIN_HEX715 1.4306109 0.0542881 26.352 < 2e-16 ***
ORIGIN_HEX716 1.3678883 0.0541712 25.251 < 2e-16 ***
ORIGIN_HEX717 1.6262794 0.0551005 29.515 < 2e-16 ***
ORIGIN_HEX718 -0.2742676 0.0560021 -4.897 9.71e-07 ***
ORIGIN_HEX719 1.0082177 0.0544154 18.528 < 2e-16 ***
ORIGIN_HEX720 1.9496583 0.0540250 36.088 < 2e-16 ***
ORIGIN_HEX721 1.1767005 0.0542839 21.677 < 2e-16 ***
ORIGIN_HEX722 0.3502329 0.0571464 6.129 8.86e-10 ***
ORIGIN_HEX724 0.6362266 0.0546393 11.644 < 2e-16 ***
ORIGIN_HEX725 3.3251287 0.0539122 61.677 < 2e-16 ***
ORIGIN_HEX726 0.3831040 0.0548550 6.984 2.87e-12 ***
ORIGIN_HEX727 1.3489478 0.0542093 24.884 < 2e-16 ***
ORIGIN_HEX728 1.1138511 0.0563737 19.758 < 2e-16 ***
ORIGIN_HEX729 0.6753298 0.0547380 12.338 < 2e-16 ***
ORIGIN_HEX730 0.2352329 0.0545698 4.311 1.63e-05 ***
ORIGIN_HEX731 0.8576355 0.0542198 15.818 < 2e-16 ***
ORIGIN_HEX732 1.4190728 0.0542933 26.137 < 2e-16 ***
ORIGIN_HEX733 1.3679675 0.0541800 25.249 < 2e-16 ***
ORIGIN_HEX734 1.2667406 0.0542419 23.354 < 2e-16 ***
ORIGIN_HEX735 1.4163134 0.0542039 26.129 < 2e-16 ***
ORIGIN_HEX736 1.2703619 0.0542081 23.435 < 2e-16 ***
ORIGIN_HEX737 1.0947255 0.0541219 20.227 < 2e-16 ***
ORIGIN_HEX738 1.7822146 0.0540497 32.974 < 2e-16 ***
ORIGIN_HEX739 1.9016215 0.0540558 35.179 < 2e-16 ***
ORIGIN_HEX740 1.3538157 0.0541591 24.997 < 2e-16 ***
ORIGIN_HEX741 1.8594080 0.0540808 34.382 < 2e-16 ***
ORIGIN_HEX742 -1.2163981 0.0598812 -20.314 < 2e-16 ***
ORIGIN_HEX743 1.2035515 0.0544192 22.116 < 2e-16 ***
ORIGIN_HEX744 1.3932858 0.0541035 25.752 < 2e-16 ***
ORIGIN_HEX745 2.0010119 0.0540044 37.053 < 2e-16 ***
ORIGIN_HEX746 0.8422461 0.0542204 15.534 < 2e-16 ***
ORIGIN_HEX747 -0.5763992 0.0561222 -10.270 < 2e-16 ***
ORIGIN_HEX748 1.9178289 0.0540651 35.473 < 2e-16 ***
ORIGIN_HEX749 0.3776034 0.0548843 6.880 5.99e-12 ***
ORIGIN_HEX750 0.9744238 0.0542265 17.970 < 2e-16 ***
ORIGIN_HEX751 0.1400666 0.0595725 2.351 0.018713 *
ORIGIN_HEX752 2.1096904 0.0539724 39.088 < 2e-16 ***
ORIGIN_HEX753 0.5077205 0.0544862 9.318 < 2e-16 ***
ORIGIN_HEX754 0.7936353 0.0543274 14.608 < 2e-16 ***
ORIGIN_HEX755 -0.4498133 0.0579721 -7.759 8.55e-15 ***
ORIGIN_HEX756 0.9862052 0.0543276 18.153 < 2e-16 ***
ORIGIN_HEX757 0.3402150 0.0545849 6.233 4.58e-10 ***
ORIGIN_HEX758 0.0075076 0.0581373 0.129 0.897250
ORIGIN_HEX759 3.5898051 0.0539085 66.591 < 2e-16 ***
ORIGIN_HEX760 0.5389202 0.0549509 9.807 < 2e-16 ***
ORIGIN_HEX761 0.9616455 0.0543505 17.693 < 2e-16 ***
ORIGIN_HEX762 0.5522441 0.0547488 10.087 < 2e-16 ***
ORIGIN_HEX763 2.3158121 0.0540072 42.880 < 2e-16 ***
ORIGIN_HEX764 1.8050027 0.0540700 33.383 < 2e-16 ***
ORIGIN_HEX765 0.8787163 0.0542008 16.212 < 2e-16 ***
ORIGIN_HEX766 0.1809147 0.0547933 3.302 0.000961 ***
ORIGIN_HEX767 3.1448005 0.0539300 58.313 < 2e-16 ***
ORIGIN_HEX768 -1.3627426 0.0708190 -19.243 < 2e-16 ***
ORIGIN_HEX769 0.0993480 0.0758211 1.310 0.190096
ORIGIN_HEX770 -0.0595369 0.0552857 -1.077 0.281527
ORIGIN_HEX771 1.8164800 0.0540712 33.594 < 2e-16 ***
ORIGIN_HEX772 2.1135723 0.0540485 39.105 < 2e-16 ***
ORIGIN_HEX773 1.1691353 0.0541226 21.602 < 2e-16 ***
ORIGIN_HEX774 -0.0899512 0.0551196 -1.632 0.102695
ORIGIN_HEX775 -1.7407720 0.0684952 -25.415 < 2e-16 ***
ORIGIN_HEX776 -0.1091029 0.0562282 -1.940 0.052336 .
ORIGIN_HEX777 0.8817606 0.0544710 16.188 < 2e-16 ***
ORIGIN_HEX778 1.5172911 0.0540720 28.061 < 2e-16 ***
ORIGIN_HEX779 1.3161798 0.0542783 24.249 < 2e-16 ***
ORIGIN_HEX780 1.1003543 0.0542189 20.295 < 2e-16 ***
ORIGIN_HEX781 1.0427983 0.0550622 18.939 < 2e-16 ***
ORIGIN_HEX782 0.4998765 0.0549172 9.102 < 2e-16 ***
ORIGIN_HEX783 1.2426528 0.0542817 22.893 < 2e-16 ***
ORIGIN_HEX784 2.2962151 0.0539743 42.543 < 2e-16 ***
ORIGIN_HEX785 1.5509766 0.0541262 28.655 < 2e-16 ***
ORIGIN_HEX786 0.7237506 0.0546515 13.243 < 2e-16 ***
ORIGIN_HEX787 1.7274545 0.0541717 31.888 < 2e-16 ***
ORIGIN_HEX788 0.5811003 0.0547232 10.619 < 2e-16 ***
ORIGIN_HEX789 0.6363683 0.0543293 11.713 < 2e-16 ***
ORIGIN_HEX790 0.9488388 0.0543830 17.447 < 2e-16 ***
ORIGIN_HEX791 2.1116602 0.0542526 38.923 < 2e-16 ***
ORIGIN_HEX792 0.6319172 0.0548761 11.515 < 2e-16 ***
ORIGIN_HEX793 1.3026944 0.0542461 24.015 < 2e-16 ***
ORIGIN_HEX794 1.4384936 0.0541478 26.566 < 2e-16 ***
ORIGIN_HEX795 -0.3534023 0.0628780 -5.620 1.90e-08 ***
ORIGIN_HEX796 1.7264292 0.0562538 30.690 < 2e-16 ***
ORIGIN_HEX797 1.7603621 0.0544818 32.311 < 2e-16 ***
ORIGIN_HEX798 2.0737491 0.0545521 38.014 < 2e-16 ***
ORIGIN_HEX799 1.1406663 0.0544395 20.953 < 2e-16 ***
ORIGIN_HEX800 0.9055267 0.0545595 16.597 < 2e-16 ***
ORIGIN_HEX801 1.6684891 0.0555142 30.055 < 2e-16 ***
ORIGIN_HEX802 2.3190750 0.0549924 42.171 < 2e-16 ***
ORIGIN_HEX803 0.9596436 0.0551370 17.405 < 2e-16 ***
ORIGIN_HEX804 -0.7464113 0.0581045 -12.846 < 2e-16 ***
ORIGIN_HEX805 1.2790482 0.0557265 22.952 < 2e-16 ***
ORIGIN_HEX806 1.1863378 0.0564242 21.025 < 2e-16 ***
ORIGIN_HEX807 -0.3526594 0.0583942 -6.039 1.55e-09 ***
ORIGIN_HEX808 1.8944464 0.0541961 34.955 < 2e-16 ***
ORIGIN_HEX809 1.9244597 0.0555222 34.661 < 2e-16 ***
ORIGIN_HEX810 0.8788912 0.0582875 15.079 < 2e-16 ***
ORIGIN_HEX811 0.3808781 0.0572786 6.650 2.94e-11 ***
ORIGIN_HEX812 0.6761898 0.0552332 12.242 < 2e-16 ***
ORIGIN_HEX813 -0.8197960 0.0728906 -11.247 < 2e-16 ***
ORIGIN_HEX814 2.4007082 0.0542930 44.218 < 2e-16 ***
ORIGIN_HEX815 0.1185399 0.0591769 2.003 0.045162 *
ORIGIN_HEX816 0.9634898 0.0550840 17.491 < 2e-16 ***
ORIGIN_HEX817 0.9583000 0.0551755 17.368 < 2e-16 ***
ORIGIN_HEX818 2.1952517 0.0542343 40.477 < 2e-16 ***
ORIGIN_HEX819 2.0284259 0.0545563 37.180 < 2e-16 ***
ORIGIN_HEX820 2.0789044 0.0572741 36.297 < 2e-16 ***
ORIGIN_HEX821 3.0373857 0.0540993 56.145 < 2e-16 ***
ORIGIN_HEX822 0.8751260 0.0554397 15.785 < 2e-16 ***
ORIGIN_HEX823 2.0379001 0.0543727 37.480 < 2e-16 ***
ORIGIN_HEX824 -0.0146057 0.0605944 -0.241 0.809524
ORIGIN_HEX825 0.5399484 0.0592151 9.118 < 2e-16 ***
ORIGIN_HEX826 2.6860053 0.0543303 49.438 < 2e-16 ***
ORIGIN_HEX827 3.2474888 0.0541609 59.960 < 2e-16 ***
ORIGIN_HEX828 1.4556216 0.0557722 26.099 < 2e-16 ***
ORIGIN_HEX829 2.5860186 0.0555659 46.540 < 2e-16 ***
ORIGIN_HEX830 2.6912638 0.0545337 49.350 < 2e-16 ***
ORIGIN_HEX831 1.7077490 0.0601664 28.384 < 2e-16 ***
DESTIN_HEX2 -0.6931436 0.1149077 -6.032 1.62e-09 ***
DESTIN_HEX3 -0.0031759 0.0960276 -0.033 0.973616
DESTIN_HEX4 -1.5214829 0.1221358 -12.457 < 2e-16 ***
DESTIN_HEX5 -0.6867929 0.0912111 -7.530 5.09e-14 ***
DESTIN_HEX6 0.2304863 0.0920459 2.504 0.012279 *
DESTIN_HEX7 -0.6151609 0.1062040 -5.792 6.94e-09 ***
DESTIN_HEX8 -4.3335805 0.2154756 -20.112 < 2e-16 ***
DESTIN_HEX9 -0.4449630 0.0894742 -4.973 6.59e-07 ***
DESTIN_HEX10 -2.0716120 0.1019734 -20.315 < 2e-16 ***
DESTIN_HEX11 -6.9568076 0.5840876 -11.911 < 2e-16 ***
DESTIN_HEX12 -1.9386380 0.1233564 -15.716 < 2e-16 ***
DESTIN_HEX13 -4.5066952 0.2814726 -16.011 < 2e-16 ***
DESTIN_HEX14 1.9560484 0.0880556 22.214 < 2e-16 ***
DESTIN_HEX15 -3.1537826 0.1238650 -25.461 < 2e-16 ***
DESTIN_HEX16 2.0678657 0.0887367 23.303 < 2e-16 ***
DESTIN_HEX17 -6.6311785 0.4178626 -15.869 < 2e-16 ***
DESTIN_HEX18 -0.8046113 0.1123855 -7.159 8.10e-13 ***
DESTIN_HEX19 -1.1372232 0.0938202 -12.121 < 2e-16 ***
DESTIN_HEX20 -1.0588796 0.0977980 -10.827 < 2e-16 ***
DESTIN_HEX21 -1.7108923 0.0973173 -17.581 < 2e-16 ***
DESTIN_HEX22 2.1611391 0.0878582 24.598 < 2e-16 ***
DESTIN_HEX23 -0.8708340 0.0963666 -9.037 < 2e-16 ***
DESTIN_HEX24 -0.9156919 0.0996108 -9.193 < 2e-16 ***
DESTIN_HEX25 -0.9374162 0.1033454 -9.071 < 2e-16 ***
DESTIN_HEX26 -0.7848025 0.0961900 -8.159 3.38e-16 ***
DESTIN_HEX27 -1.8050522 0.1008671 -17.895 < 2e-16 ***
DESTIN_HEX28 -1.2066752 0.0926530 -13.024 < 2e-16 ***
DESTIN_HEX29 -0.7238597 0.0987694 -7.329 2.32e-13 ***
DESTIN_HEX30 -1.2395925 0.1419056 -8.735 < 2e-16 ***
DESTIN_HEX31 -1.2287657 0.0991603 -12.392 < 2e-16 ***
DESTIN_HEX32 1.5334800 0.0879433 17.437 < 2e-16 ***
DESTIN_HEX33 -1.2986326 0.0940981 -13.801 < 2e-16 ***
DESTIN_HEX34 -4.4466673 0.2353872 -18.891 < 2e-16 ***
DESTIN_HEX35 -1.5041404 0.0946925 -15.884 < 2e-16 ***
DESTIN_HEX36 -2.7172748 0.1350400 -20.122 < 2e-16 ***
DESTIN_HEX37 -1.3868866 0.1144451 -12.118 < 2e-16 ***
DESTIN_HEX38 2.0058316 0.0879994 22.794 < 2e-16 ***
DESTIN_HEX39 0.0398311 0.0900124 0.443 0.658122
DESTIN_HEX40 -3.4930904 0.1747364 -19.991 < 2e-16 ***
DESTIN_HEX41 -1.8291152 0.0989398 -18.487 < 2e-16 ***
DESTIN_HEX42 -2.2987276 0.1404117 -16.371 < 2e-16 ***
DESTIN_HEX43 -2.8738075 0.1019141 -28.198 < 2e-16 ***
DESTIN_HEX44 -0.7104156 0.0919022 -7.730 1.07e-14 ***
DESTIN_HEX45 -0.5569371 0.0929570 -5.991 2.08e-09 ***
DESTIN_HEX46 -1.5064735 0.0979018 -15.388 < 2e-16 ***
DESTIN_HEX47 -1.5766458 0.0949361 -16.607 < 2e-16 ***
DESTIN_HEX48 -1.1400733 0.0969154 -11.764 < 2e-16 ***
DESTIN_HEX49 -5.0754358 1.0038545 -5.056 4.28e-07 ***
DESTIN_HEX50 -2.5791141 0.1003177 -25.709 < 2e-16 ***
DESTIN_HEX51 1.7618901 0.0881925 19.978 < 2e-16 ***
DESTIN_HEX52 -3.0587607 0.1060219 -28.850 < 2e-16 ***
DESTIN_HEX53 -1.2368928 0.1244021 -9.943 < 2e-16 ***
DESTIN_HEX54 -0.8718591 0.0993483 -8.776 < 2e-16 ***
DESTIN_HEX55 -0.4874087 0.0918389 -5.307 1.11e-07 ***
DESTIN_HEX56 -2.0400676 0.0946517 -21.553 < 2e-16 ***
DESTIN_HEX57 -0.4194940 0.0926853 -4.526 6.01e-06 ***
DESTIN_HEX58 -1.3804821 0.0956496 -14.433 < 2e-16 ***
DESTIN_HEX59 -0.6911711 0.0912363 -7.576 3.57e-14 ***
DESTIN_HEX60 -1.7230887 0.0919904 -18.731 < 2e-16 ***
DESTIN_HEX61 -1.7109348 0.0944943 -18.106 < 2e-16 ***
DESTIN_HEX62 -1.2988552 0.0955912 -13.588 < 2e-16 ***
DESTIN_HEX63 0.2910747 0.0959407 3.034 0.002414 **
DESTIN_HEX64 -2.5484039 0.1012491 -25.170 < 2e-16 ***
DESTIN_HEX65 2.7810249 0.0878118 31.670 < 2e-16 ***
DESTIN_HEX66 0.3422451 0.0895331 3.823 0.000132 ***
DESTIN_HEX67 1.5990023 0.0884806 18.072 < 2e-16 ***
DESTIN_HEX68 -2.8210968 0.1224783 -23.033 < 2e-16 ***
DESTIN_HEX69 -2.2074288 0.0944347 -23.375 < 2e-16 ***
DESTIN_HEX70 -0.8488244 0.0901827 -9.412 < 2e-16 ***
DESTIN_HEX71 -1.2001661 0.0910569 -13.180 < 2e-16 ***
DESTIN_HEX72 0.8928010 0.0894992 9.976 < 2e-16 ***
DESTIN_HEX73 -1.1626966 0.1052206 -11.050 < 2e-16 ***
DESTIN_HEX74 -2.4136619 0.1028795 -23.461 < 2e-16 ***
DESTIN_HEX75 -1.2537880 0.0922664 -13.589 < 2e-16 ***
DESTIN_HEX76 1.7994187 0.0880790 20.430 < 2e-16 ***
DESTIN_HEX77 0.0425011 0.0888127 0.479 0.632260
DESTIN_HEX79 -0.5843715 0.0919076 -6.358 2.04e-10 ***
DESTIN_HEX80 -0.2030584 0.0893932 -2.272 0.023116 *
DESTIN_HEX81 2.2122873 0.0879282 25.160 < 2e-16 ***
DESTIN_HEX82 0.7098987 0.0887174 8.002 1.23e-15 ***
DESTIN_HEX84 -1.7425691 0.1064302 -16.373 < 2e-16 ***
DESTIN_HEX85 -1.8931805 0.1302793 -14.532 < 2e-16 ***
DESTIN_HEX86 0.6031936 0.0886762 6.802 1.03e-11 ***
DESTIN_HEX87 0.8913258 0.0882202 10.103 < 2e-16 ***
DESTIN_HEX88 -4.0832788 0.2222432 -18.373 < 2e-16 ***
DESTIN_HEX89 -1.6115777 0.1076210 -14.975 < 2e-16 ***
DESTIN_HEX90 -1.6686921 0.0949697 -17.571 < 2e-16 ***
DESTIN_HEX91 -1.4292436 0.0930236 -15.364 < 2e-16 ***
DESTIN_HEX92 0.0841042 0.0884675 0.951 0.341768
DESTIN_HEX93 2.5835880 0.0878662 29.404 < 2e-16 ***
DESTIN_HEX94 -1.0823013 0.0924233 -11.710 < 2e-16 ***
DESTIN_HEX95 -0.9296775 0.0981809 -9.469 < 2e-16 ***
DESTIN_HEX96 -1.5441160 0.1194592 -12.926 < 2e-16 ***
DESTIN_HEX97 -2.3762989 0.1091645 -21.768 < 2e-16 ***
DESTIN_HEX98 -0.4227185 0.0901057 -4.691 2.71e-06 ***
DESTIN_HEX99 -1.2334866 0.0903476 -13.653 < 2e-16 ***
DESTIN_HEX100 2.4433974 0.0878560 27.811 < 2e-16 ***
DESTIN_HEX101 2.8852682 0.0878789 32.832 < 2e-16 ***
DESTIN_HEX102 0.0581031 0.0907707 0.640 0.522102
DESTIN_HEX103 -2.4237523 0.1776811 -13.641 < 2e-16 ***
DESTIN_HEX104 -1.2341627 0.1317105 -9.370 < 2e-16 ***
DESTIN_HEX105 -2.4078723 1.0038639 -2.399 0.016458 *
DESTIN_HEX106 -2.5059003 0.1062755 -23.579 < 2e-16 ***
DESTIN_HEX107 -1.0695921 0.0972366 -11.000 < 2e-16 ***
DESTIN_HEX108 -1.3813463 0.0899349 -15.359 < 2e-16 ***
DESTIN_HEX109 1.8537528 0.0878980 21.090 < 2e-16 ***
DESTIN_HEX110 1.4449038 0.0881830 16.385 < 2e-16 ***
DESTIN_HEX111 -0.8448234 0.1050930 -8.039 9.07e-16 ***
DESTIN_HEX112 1.2991437 0.0937497 13.858 < 2e-16 ***
DESTIN_HEX113 -4.2612198 0.4560215 -9.344 < 2e-16 ***
DESTIN_HEX114 -4.1315624 0.2813960 -14.682 < 2e-16 ***
DESTIN_HEX115 -1.5391829 0.0936347 -16.438 < 2e-16 ***
DESTIN_HEX116 -1.2059829 0.0946757 -12.738 < 2e-16 ***
DESTIN_HEX117 3.6381703 0.0878304 41.423 < 2e-16 ***
DESTIN_HEX118 1.8849355 0.0879435 21.433 < 2e-16 ***
DESTIN_HEX119 -2.2112689 0.1130341 -19.563 < 2e-16 ***
DESTIN_HEX120 -2.0855125 0.1255369 -16.613 < 2e-16 ***
DESTIN_HEX121 -1.8167255 0.2515509 -7.222 5.12e-13 ***
DESTIN_HEX122 0.2662948 0.1030238 2.585 0.009744 **
DESTIN_HEX123 -1.6687752 0.1119355 -14.908 < 2e-16 ***
DESTIN_HEX124 -1.1490180 0.0917599 -12.522 < 2e-16 ***
DESTIN_HEX125 -1.5856067 0.0905606 -17.509 < 2e-16 ***
DESTIN_HEX126 1.4665469 0.0879224 16.680 < 2e-16 ***
DESTIN_HEX127 -1.6588446 0.1112154 -14.916 < 2e-16 ***
DESTIN_HEX128 -1.4717895 0.1327251 -11.089 < 2e-16 ***
DESTIN_HEX129 -2.2154827 0.1705574 -12.990 < 2e-16 ***
DESTIN_HEX130 -2.1177488 0.0967916 -21.879 < 2e-16 ***
DESTIN_HEX131 -1.5266395 0.0930095 -16.414 < 2e-16 ***
DESTIN_HEX132 -0.6781618 0.0887618 -7.640 2.17e-14 ***
DESTIN_HEX133 2.3430453 0.0878937 26.658 < 2e-16 ***
DESTIN_HEX134 -1.8874795 0.1048981 -17.993 < 2e-16 ***
DESTIN_HEX135 -2.0500354 0.0962885 -21.291 < 2e-16 ***
DESTIN_HEX136 2.0724241 0.0878959 23.578 < 2e-16 ***
DESTIN_HEX137 -0.5303064 0.0902230 -5.878 4.16e-09 ***
DESTIN_HEX138 1.0955043 0.0880869 12.437 < 2e-16 ***
DESTIN_HEX139 1.4862518 0.0879771 16.894 < 2e-16 ***
DESTIN_HEX140 2.6535867 0.0878729 30.198 < 2e-16 ***
DESTIN_HEX141 2.8069890 0.0880654 31.874 < 2e-16 ***
DESTIN_HEX142 -0.0931520 0.0911172 -1.022 0.306624
DESTIN_HEX143 -1.6510843 0.0931107 -17.732 < 2e-16 ***
DESTIN_HEX144 2.3879423 0.0878939 27.168 < 2e-16 ***
DESTIN_HEX145 2.6369158 0.0878867 30.004 < 2e-16 ***
DESTIN_HEX146 1.4909445 0.0882636 16.892 < 2e-16 ***
DESTIN_HEX147 -0.8263644 0.0905786 -9.123 < 2e-16 ***
DESTIN_HEX148 1.8676154 0.0879766 21.229 < 2e-16 ***
DESTIN_HEX149 0.7997643 0.0881964 9.068 < 2e-16 ***
DESTIN_HEX150 2.4513512 0.0878864 27.892 < 2e-16 ***
DESTIN_HEX151 -0.5885050 0.0926670 -6.351 2.14e-10 ***
DESTIN_HEX152 -0.4649100 0.0893891 -5.201 1.98e-07 ***
DESTIN_HEX154 -1.3126048 0.0968348 -13.555 < 2e-16 ***
DESTIN_HEX156 0.7604731 0.0884743 8.595 < 2e-16 ***
DESTIN_HEX157 -0.2754523 0.0889883 -3.095 0.001966 **
DESTIN_HEX158 1.7648912 0.0879601 20.065 < 2e-16 ***
DESTIN_HEX160 -0.7264631 0.0923199 -7.869 3.58e-15 ***
DESTIN_HEX161 1.1550862 0.0881594 13.102 < 2e-16 ***
DESTIN_HEX162 -1.6009054 0.0922837 -17.348 < 2e-16 ***
DESTIN_HEX163 2.5135370 0.0878824 28.601 < 2e-16 ***
DESTIN_HEX164 0.9792248 0.0884654 11.069 < 2e-16 ***
DESTIN_HEX165 2.9066257 0.0879384 33.053 < 2e-16 ***
DESTIN_HEX166 -1.4073002 0.1153745 -12.198 < 2e-16 ***
DESTIN_HEX167 -0.5961595 0.0894380 -6.666 2.64e-11 ***
DESTIN_HEX168 1.2849449 0.0879625 14.608 < 2e-16 ***
DESTIN_HEX169 1.0747930 0.0880857 12.202 < 2e-16 ***
DESTIN_HEX170 1.5650759 0.0882330 17.738 < 2e-16 ***
DESTIN_HEX171 2.5282447 0.0879986 28.731 < 2e-16 ***
DESTIN_HEX172 0.4956005 0.0887923 5.582 2.38e-08 ***
DESTIN_HEX173 -2.7393306 0.1117622 -24.510 < 2e-16 ***
DESTIN_HEX174 2.1442246 0.0879331 24.385 < 2e-16 ***
DESTIN_HEX175 2.4705431 0.0878736 28.115 < 2e-16 ***
DESTIN_HEX176 1.7113988 0.0879445 19.460 < 2e-16 ***
DESTIN_HEX177 2.8964752 0.0879252 32.943 < 2e-16 ***
DESTIN_HEX178 0.6543143 0.0889447 7.356 1.89e-13 ***
DESTIN_HEX179 2.6730207 0.0878964 30.411 < 2e-16 ***
DESTIN_HEX180 1.9821336 0.0880217 22.519 < 2e-16 ***
DESTIN_HEX181 0.8425240 0.0905875 9.301 < 2e-16 ***
DESTIN_HEX182 -1.7642912 0.0983594 -17.937 < 2e-16 ***
DESTIN_HEX183 -0.0236566 0.0883759 -0.268 0.788944
DESTIN_HEX184 1.7335462 0.0879229 19.717 < 2e-16 ***
DESTIN_HEX185 2.1022283 0.0879068 23.914 < 2e-16 ***
DESTIN_HEX186 2.1436380 0.0879634 24.370 < 2e-16 ***
DESTIN_HEX187 2.2550355 0.0880020 25.625 < 2e-16 ***
DESTIN_HEX188 3.3294776 0.0878730 37.890 < 2e-16 ***
DESTIN_HEX189 2.7029543 0.0880093 30.712 < 2e-16 ***
DESTIN_HEX190 -0.5253846 0.0949649 -5.532 3.16e-08 ***
DESTIN_HEX191 -2.0845937 0.1172281 -17.782 < 2e-16 ***
DESTIN_HEX192 1.1844740 0.0880152 13.458 < 2e-16 ***
DESTIN_HEX193 1.2970765 0.0880177 14.737 < 2e-16 ***
DESTIN_HEX194 1.4803674 0.0879674 16.829 < 2e-16 ***
DESTIN_HEX195 0.7811705 0.0881837 8.858 < 2e-16 ***
DESTIN_HEX196 1.8100557 0.0879869 20.572 < 2e-16 ***
DESTIN_HEX197 2.2142183 0.0879197 25.185 < 2e-16 ***
DESTIN_HEX198 1.7253951 0.0880490 19.596 < 2e-16 ***
DESTIN_HEX199 3.6823508 0.0879378 41.874 < 2e-16 ***
DESTIN_HEX200 0.2525505 0.0918464 2.750 0.005965 **
DESTIN_HEX201 -0.9947189 0.0972505 -10.228 < 2e-16 ***
DESTIN_HEX202 0.5870269 0.0902780 6.502 7.90e-11 ***
DESTIN_HEX203 -0.5603551 0.0913412 -6.135 8.53e-10 ***
DESTIN_HEX204 0.0838698 0.0886963 0.946 0.344361
DESTIN_HEX205 -0.0232959 0.0887940 -0.262 0.793045
DESTIN_HEX206 1.7593319 0.0880666 19.977 < 2e-16 ***
DESTIN_HEX207 2.8148900 0.0878680 32.035 < 2e-16 ***
DESTIN_HEX208 2.6617219 0.0880181 30.241 < 2e-16 ***
DESTIN_HEX209 0.3815665 0.0885365 4.310 1.63e-05 ***
DESTIN_HEX210 1.1459785 0.0882422 12.987 < 2e-16 ***
DESTIN_HEX211 0.7115570 0.0883281 8.056 7.89e-16 ***
DESTIN_HEX212 -1.9105547 0.1118781 -17.077 < 2e-16 ***
DESTIN_HEX213 -0.5537588 0.0927718 -5.969 2.39e-09 ***
DESTIN_HEX214 -0.6169708 0.0942773 -6.544 5.98e-11 ***
DESTIN_HEX215 -0.4703063 0.0890202 -5.283 1.27e-07 ***
DESTIN_HEX216 1.1034168 0.0880693 12.529 < 2e-16 ***
DESTIN_HEX217 -1.2657880 0.0906535 -13.963 < 2e-16 ***
DESTIN_HEX218 2.1860654 0.0878977 24.871 < 2e-16 ***
DESTIN_HEX219 1.0262039 0.0884962 11.596 < 2e-16 ***
DESTIN_HEX220 2.3557257 0.0879083 26.798 < 2e-16 ***
DESTIN_HEX221 0.3336024 0.0885965 3.765 0.000166 ***
DESTIN_HEX222 0.1797950 0.0890294 2.020 0.043435 *
DESTIN_HEX223 -0.8362467 0.0923399 -9.056 < 2e-16 ***
DESTIN_HEX224 -0.5713462 0.0906939 -6.300 2.98e-10 ***
DESTIN_HEX225 -0.7156123 0.0953043 -7.509 5.97e-14 ***
DESTIN_HEX226 0.6086033 0.0892842 6.816 9.33e-12 ***
DESTIN_HEX227 0.9136869 0.0879990 10.383 < 2e-16 ***
DESTIN_HEX228 -1.7822132 0.0912648 -19.528 < 2e-16 ***
DESTIN_HEX229 0.6766162 0.0881816 7.673 1.68e-14 ***
DESTIN_HEX230 1.7258739 0.0879429 19.625 < 2e-16 ***
DESTIN_HEX231 2.1010080 0.0879350 23.893 < 2e-16 ***
DESTIN_HEX232 1.9153529 0.0881111 21.738 < 2e-16 ***
DESTIN_HEX233 -2.4372803 0.1054065 -23.123 < 2e-16 ***
DESTIN_HEX234 -0.4442826 0.0898462 -4.945 7.62e-07 ***
DESTIN_HEX235 -0.0274619 0.0888612 -0.309 0.757290
DESTIN_HEX236 1.4626406 0.0879351 16.633 < 2e-16 ***
DESTIN_HEX237 1.8592576 0.0878926 21.154 < 2e-16 ***
DESTIN_HEX238 -1.1898787 0.0903695 -13.167 < 2e-16 ***
DESTIN_HEX239 -0.2676435 0.0904930 -2.958 0.003100 **
DESTIN_HEX240 1.6380204 0.0880382 18.606 < 2e-16 ***
DESTIN_HEX241 -1.5437357 0.0927871 -16.637 < 2e-16 ***
DESTIN_HEX242 3.3333804 0.0878633 37.938 < 2e-16 ***
DESTIN_HEX243 -5.4670478 0.4176104 -13.091 < 2e-16 ***
DESTIN_HEX244 3.1978009 0.0879245 36.370 < 2e-16 ***
DESTIN_HEX245 -1.5174500 0.0975900 -15.549 < 2e-16 ***
DESTIN_HEX246 0.1020013 0.0884902 1.153 0.249040
DESTIN_HEX247 1.8746444 0.0879545 21.314 < 2e-16 ***
DESTIN_HEX248 3.0095201 0.0878535 34.256 < 2e-16 ***
DESTIN_HEX249 -0.7648325 0.0904409 -8.457 < 2e-16 ***
DESTIN_HEX250 0.6611049 0.0882764 7.489 6.94e-14 ***
DESTIN_HEX251 -0.8505438 0.0899075 -9.460 < 2e-16 ***
DESTIN_HEX252 1.8450467 0.0879829 20.971 < 2e-16 ***
DESTIN_HEX253 0.1495044 0.0885203 1.689 0.091233 .
DESTIN_HEX254 2.5281357 0.0879748 28.737 < 2e-16 ***
DESTIN_HEX255 -0.5849912 0.0926756 -6.312 2.75e-10 ***
DESTIN_HEX256 -0.8982007 0.0911405 -9.855 < 2e-16 ***
DESTIN_HEX257 3.8128299 0.0879310 43.362 < 2e-16 ***
DESTIN_HEX258 0.5861347 0.0880859 6.654 2.85e-11 ***
DESTIN_HEX259 1.5486648 0.0879045 17.618 < 2e-16 ***
DESTIN_HEX260 1.4481463 0.0879359 16.468 < 2e-16 ***
DESTIN_HEX262 1.2155630 0.0881322 13.792 < 2e-16 ***
DESTIN_HEX263 0.6600299 0.0883147 7.474 7.80e-14 ***
DESTIN_HEX264 -0.5705617 0.0895669 -6.370 1.89e-10 ***
DESTIN_HEX265 2.3664760 0.0879113 26.919 < 2e-16 ***
DESTIN_HEX266 2.5806785 0.0880451 29.311 < 2e-16 ***
DESTIN_HEX267 -0.2094433 0.0891565 -2.349 0.018816 *
DESTIN_HEX269 0.7363001 0.0881364 8.354 < 2e-16 ***
DESTIN_HEX270 0.9132457 0.0880176 10.376 < 2e-16 ***
DESTIN_HEX271 0.1745425 0.0881927 1.979 0.047804 *
DESTIN_HEX272 -0.0415394 0.0883809 -0.470 0.638352
DESTIN_HEX273 1.1140783 0.0880515 12.653 < 2e-16 ***
DESTIN_HEX274 0.7636898 0.0882720 8.652 < 2e-16 ***
DESTIN_HEX275 0.3669057 0.0901980 4.068 4.75e-05 ***
DESTIN_HEX276 3.0842155 0.0878939 35.090 < 2e-16 ***
DESTIN_HEX277 2.5129437 0.0880145 28.551 < 2e-16 ***
DESTIN_HEX278 -0.7730188 0.0927974 -8.330 < 2e-16 ***
DESTIN_HEX279 2.5433154 0.0879228 28.927 < 2e-16 ***
DESTIN_HEX280 3.5207814 0.0878825 40.062 < 2e-16 ***
DESTIN_HEX281 -0.8951825 0.0911557 -9.820 < 2e-16 ***
DESTIN_HEX282 0.2315316 0.0887078 2.610 0.009053 **
DESTIN_HEX283 -0.3428433 0.0886342 -3.868 0.000110 ***
DESTIN_HEX284 -0.0611690 0.0884282 -0.692 0.489103
DESTIN_HEX285 0.0227121 0.0883882 0.257 0.797211
DESTIN_HEX286 1.8252686 0.0879502 20.753 < 2e-16 ***
DESTIN_HEX287 1.3367154 0.0884937 15.105 < 2e-16 ***
DESTIN_HEX288 1.9706336 0.0880372 22.384 < 2e-16 ***
DESTIN_HEX289 1.4098970 0.0882764 15.971 < 2e-16 ***
DESTIN_HEX290 2.1970797 0.0879608 24.978 < 2e-16 ***
DESTIN_HEX291 -1.1293058 0.0933839 -12.093 < 2e-16 ***
DESTIN_HEX292 -0.0844379 0.0884550 -0.955 0.339787
DESTIN_HEX293 1.0268411 0.0880326 11.664 < 2e-16 ***
DESTIN_HEX294 1.2432979 0.0880044 14.128 < 2e-16 ***
DESTIN_HEX295 0.8909620 0.0881016 10.113 < 2e-16 ***
DESTIN_HEX296 0.9646053 0.0880214 10.959 < 2e-16 ***
DESTIN_HEX297 -0.6499599 0.0923536 -7.038 1.95e-12 ***
DESTIN_HEX298 2.2069002 0.0879286 25.099 < 2e-16 ***
DESTIN_HEX299 1.9844720 0.0879863 22.554 < 2e-16 ***
DESTIN_HEX300 1.3860605 0.0879930 15.752 < 2e-16 ***
DESTIN_HEX301 0.2820230 0.0881652 3.199 0.001380 **
DESTIN_HEX302 1.2764398 0.0879831 14.508 < 2e-16 ***
DESTIN_HEX303 0.2762202 0.0882914 3.129 0.001757 **
DESTIN_HEX304 -4.8156438 0.2727999 -17.653 < 2e-16 ***
DESTIN_HEX305 1.5668836 0.0880052 17.804 < 2e-16 ***
DESTIN_HEX306 1.9303769 0.0880930 21.913 < 2e-16 ***
DESTIN_HEX307 0.6822018 0.0881368 7.740 9.92e-15 ***
DESTIN_HEX308 -0.5316591 0.0887636 -5.990 2.10e-09 ***
DESTIN_HEX309 -0.5080804 0.0884811 -5.742 9.34e-09 ***
DESTIN_HEX310 0.1581768 0.0883207 1.791 0.073304 .
DESTIN_HEX311 1.7396466 0.0879560 19.779 < 2e-16 ***
DESTIN_HEX312 -3.0790259 0.2909416 -10.583 < 2e-16 ***
DESTIN_HEX313 1.2640776 0.0880614 14.355 < 2e-16 ***
DESTIN_HEX314 -0.0434398 0.0886348 -0.490 0.624065
DESTIN_HEX315 -1.9639346 0.0942607 -20.835 < 2e-16 ***
DESTIN_HEX316 -0.8722755 0.0904283 -9.646 < 2e-16 ***
DESTIN_HEX317 -0.4240861 0.0915162 -4.634 3.59e-06 ***
DESTIN_HEX318 1.8958078 0.0879053 21.566 < 2e-16 ***
DESTIN_HEX319 -0.3961535 0.0895521 -4.424 9.70e-06 ***
DESTIN_HEX320 0.8061370 0.0881116 9.149 < 2e-16 ***
DESTIN_HEX321 0.8971125 0.0900513 9.962 < 2e-16 ***
DESTIN_HEX322 -3.8572959 0.1760662 -21.908 < 2e-16 ***
DESTIN_HEX323 0.3679339 0.0891039 4.129 3.64e-05 ***
DESTIN_HEX324 3.7017165 0.0878672 42.129 < 2e-16 ***
DESTIN_HEX325 0.5478415 0.0885290 6.188 6.08e-10 ***
DESTIN_HEX326 0.4741535 0.0882110 5.375 7.65e-08 ***
DESTIN_HEX327 -0.6687310 0.0891040 -7.505 6.14e-14 ***
DESTIN_HEX328 0.3376735 0.0884935 3.816 0.000136 ***
DESTIN_HEX329 0.3577549 0.0882862 4.052 5.07e-05 ***
DESTIN_HEX330 0.2064962 0.0887355 2.327 0.019960 *
DESTIN_HEX331 1.9482861 0.0879712 22.147 < 2e-16 ***
DESTIN_HEX332 1.9864921 0.0879339 22.591 < 2e-16 ***
DESTIN_HEX333 1.2437197 0.0883954 14.070 < 2e-16 ***
DESTIN_HEX334 -0.7726718 0.0891784 -8.664 < 2e-16 ***
DESTIN_HEX335 -1.5416991 0.0922017 -16.721 < 2e-16 ***
DESTIN_HEX336 1.0651497 0.0879830 12.106 < 2e-16 ***
DESTIN_HEX337 0.7394756 0.0881562 8.388 < 2e-16 ***
DESTIN_HEX338 -2.3352221 0.1174756 -19.878 < 2e-16 ***
DESTIN_HEX339 0.0278111 0.0900916 0.309 0.757551
DESTIN_HEX340 2.2666466 0.0879129 25.783 < 2e-16 ***
DESTIN_HEX341 0.9705154 0.0881714 11.007 < 2e-16 ***
DESTIN_HEX343 -0.8004897 0.0887190 -9.023 < 2e-16 ***
DESTIN_HEX344 0.8994791 0.0880186 10.219 < 2e-16 ***
DESTIN_HEX345 1.8887959 0.0879098 21.486 < 2e-16 ***
DESTIN_HEX346 2.7365173 0.0879345 31.120 < 2e-16 ***
DESTIN_HEX347 3.0011123 0.0879026 34.141 < 2e-16 ***
DESTIN_HEX348 -0.0340302 0.0888502 -0.383 0.701715
DESTIN_HEX349 -4.1175827 0.2580213 -15.958 < 2e-16 ***
DESTIN_HEX350 0.3091786 0.0881896 3.506 0.000455 ***
DESTIN_HEX351 0.8242141 0.0880041 9.366 < 2e-16 ***
DESTIN_HEX352 1.5477292 0.0879234 17.603 < 2e-16 ***
DESTIN_HEX353 0.8465333 0.0880484 9.614 < 2e-16 ***
DESTIN_HEX354 0.0495250 0.0885642 0.559 0.576026
DESTIN_HEX355 -0.5763181 0.0935369 -6.161 7.21e-10 ***
DESTIN_HEX356 1.6562601 0.0880634 18.808 < 2e-16 ***
DESTIN_HEX357 1.6075217 0.0880098 18.265 < 2e-16 ***
DESTIN_HEX358 -0.0752164 0.0891618 -0.844 0.398896
DESTIN_HEX360 0.6030682 0.0880645 6.848 7.49e-12 ***
DESTIN_HEX361 0.7840606 0.0880237 8.907 < 2e-16 ***
DESTIN_HEX362 0.6368001 0.0881766 7.222 5.13e-13 ***
DESTIN_HEX363 0.4185727 0.0882696 4.742 2.12e-06 ***
DESTIN_HEX364 -4.4397116 0.3448068 -12.876 < 2e-16 ***
DESTIN_HEX365 2.1895610 0.0879576 24.893 < 2e-16 ***
DESTIN_HEX366 -1.9589052 0.1018225 -19.238 < 2e-16 ***
DESTIN_HEX367 -1.2423989 0.0928268 -13.384 < 2e-16 ***
DESTIN_HEX368 1.3028007 0.0879461 14.814 < 2e-16 ***
DESTIN_HEX369 1.2266787 0.0879412 13.949 < 2e-16 ***
DESTIN_HEX370 0.7835522 0.0884219 8.862 < 2e-16 ***
DESTIN_HEX371 -0.3737552 0.0888183 -4.208 2.58e-05 ***
DESTIN_HEX372 0.6157159 0.0881892 6.982 2.92e-12 ***
DESTIN_HEX373 -2.3154939 0.1109963 -20.861 < 2e-16 ***
DESTIN_HEX374 -2.2175180 0.1439915 -15.400 < 2e-16 ***
DESTIN_HEX375 -0.3791574 0.0892881 -4.246 2.17e-05 ***
DESTIN_HEX376 0.2802852 0.0888132 3.156 0.001600 **
DESTIN_HEX377 -0.5371712 0.0885783 -6.064 1.32e-09 ***
DESTIN_HEX378 0.5427949 0.0880566 6.164 7.09e-10 ***
DESTIN_HEX379 0.9679272 0.0879749 11.002 < 2e-16 ***
DESTIN_HEX380 0.4716136 0.0882048 5.347 8.95e-08 ***
DESTIN_HEX381 1.0911846 0.0882113 12.370 < 2e-16 ***
DESTIN_HEX382 1.7228108 0.0880880 19.558 < 2e-16 ***
DESTIN_HEX383 0.3274899 0.0889372 3.682 0.000231 ***
DESTIN_HEX384 -0.6582987 0.0886334 -7.427 1.11e-13 ***
DESTIN_HEX385 0.9379089 0.0879602 10.663 < 2e-16 ***
DESTIN_HEX386 -0.2086430 0.0885793 -2.355 0.018501 *
DESTIN_HEX387 -0.2009080 0.0886978 -2.265 0.023508 *
DESTIN_HEX388 0.4238751 0.0883029 4.800 1.58e-06 ***
DESTIN_HEX389 -0.9349120 0.0909857 -10.275 < 2e-16 ***
DESTIN_HEX390 -3.8360678 0.1544498 -24.837 < 2e-16 ***
DESTIN_HEX391 0.7064756 0.0885407 7.979 1.47e-15 ***
DESTIN_HEX392 2.1703495 0.0879496 24.677 < 2e-16 ***
DESTIN_HEX393 0.1306293 0.0886569 1.473 0.140636
DESTIN_HEX394 2.4875122 0.0878815 28.305 < 2e-16 ***
DESTIN_HEX395 1.2243399 0.0879475 13.921 < 2e-16 ***
DESTIN_HEX396 1.6372310 0.0879091 18.624 < 2e-16 ***
DESTIN_HEX397 -0.9342093 0.0895187 -10.436 < 2e-16 ***
DESTIN_HEX398 -1.8658788 0.1007198 -18.525 < 2e-16 ***
DESTIN_HEX399 -3.7443793 0.1483565 -25.239 < 2e-16 ***
DESTIN_HEX400 2.0200268 0.0880541 22.941 < 2e-16 ***
DESTIN_HEX401 -0.3599157 0.0898676 -4.005 6.20e-05 ***
DESTIN_HEX402 1.0687706 0.0881690 12.122 < 2e-16 ***
DESTIN_HEX403 1.8008603 0.0880299 20.457 < 2e-16 ***
DESTIN_HEX404 1.5682132 0.0879238 17.836 < 2e-16 ***
DESTIN_HEX405 1.0747596 0.0879320 12.223 < 2e-16 ***
DESTIN_HEX406 -1.1625529 0.0945806 -12.292 < 2e-16 ***
DESTIN_HEX407 0.9117490 0.0880428 10.356 < 2e-16 ***
DESTIN_HEX408 -3.4573427 0.1791873 -19.295 < 2e-16 ***
DESTIN_HEX409 -1.5876806 0.0951305 -16.690 < 2e-16 ***
DESTIN_HEX410 0.3301668 0.0885202 3.730 0.000192 ***
DESTIN_HEX411 -0.3178060 0.0892188 -3.562 0.000368 ***
DESTIN_HEX412 2.5594956 0.0879281 29.109 < 2e-16 ***
DESTIN_HEX413 0.7950811 0.0884992 8.984 < 2e-16 ***
DESTIN_HEX414 0.5893947 0.0904757 6.514 7.30e-11 ***
DESTIN_HEX415 -0.8696571 0.0888282 -9.790 < 2e-16 ***
DESTIN_HEX416 1.2364328 0.0879318 14.061 < 2e-16 ***
DESTIN_HEX417 1.0168879 0.0879599 11.561 < 2e-16 ***
DESTIN_HEX418 -0.0916495 0.0883062 -1.038 0.299335
DESTIN_HEX419 -0.0622166 0.0885066 -0.703 0.482081
DESTIN_HEX420 1.4298391 0.0882153 16.209 < 2e-16 ***
DESTIN_HEX421 -3.5263411 0.2579689 -13.670 < 2e-16 ***
DESTIN_HEX422 -0.2355504 0.0892377 -2.640 0.008301 **
DESTIN_HEX423 0.1883583 0.0888075 2.121 0.033924 *
DESTIN_HEX424 0.0660939 0.0892598 0.740 0.459017
DESTIN_HEX425 -1.3613958 0.1056239 -12.889 < 2e-16 ***
DESTIN_HEX426 -1.2282403 0.0926230 -13.261 < 2e-16 ***
DESTIN_HEX427 -3.3684026 0.1152143 -29.236 < 2e-16 ***
DESTIN_HEX428 2.4141228 0.0879221 27.458 < 2e-16 ***
DESTIN_HEX429 1.4044631 0.0881091 15.940 < 2e-16 ***
DESTIN_HEX430 -1.8853021 0.1331379 -14.161 < 2e-16 ***
DESTIN_HEX431 0.6716521 0.0881168 7.622 2.49e-14 ***
DESTIN_HEX432 2.0377412 0.0878922 23.185 < 2e-16 ***
DESTIN_HEX433 0.6912903 0.0880065 7.855 4.00e-15 ***
DESTIN_HEX434 0.8294036 0.0880504 9.420 < 2e-16 ***
DESTIN_HEX435 -0.4872275 0.0891434 -5.466 4.61e-08 ***
DESTIN_HEX436 0.5529779 0.0882422 6.267 3.69e-10 ***
DESTIN_HEX437 -0.5758040 0.0893545 -6.444 1.16e-10 ***
DESTIN_HEX438 0.5932564 0.0883173 6.717 1.85e-11 ***
DESTIN_HEX439 -0.2931676 0.0901766 -3.251 0.001150 **
DESTIN_HEX440 2.5974968 0.0879103 29.547 < 2e-16 ***
DESTIN_HEX441 1.3515868 0.0880113 15.357 < 2e-16 ***
DESTIN_HEX442 1.2415795 0.0880555 14.100 < 2e-16 ***
DESTIN_HEX443 2.4842145 0.0879575 28.243 < 2e-16 ***
DESTIN_HEX444 -1.9299923 0.1056858 -18.262 < 2e-16 ***
DESTIN_HEX445 -0.1342030 0.0882325 -1.521 0.128256
DESTIN_HEX446 -0.1791398 0.0882153 -2.031 0.042284 *
DESTIN_HEX447 1.2764558 0.0879190 14.519 < 2e-16 ***
DESTIN_HEX448 0.0873081 0.0882486 0.989 0.322496
DESTIN_HEX449 -0.8923136 0.0894632 -9.974 < 2e-16 ***
DESTIN_HEX450 -1.6986344 0.0939133 -18.087 < 2e-16 ***
DESTIN_HEX451 -0.2063059 0.0886043 -2.328 0.019891 *
DESTIN_HEX452 1.4106792 0.0881095 16.011 < 2e-16 ***
DESTIN_HEX453 0.4782152 0.0888418 5.383 7.33e-08 ***
DESTIN_HEX455 -0.6707424 0.0921803 -7.276 3.43e-13 ***
DESTIN_HEX456 2.3612405 0.0879160 26.858 < 2e-16 ***
DESTIN_HEX457 2.8177471 0.0878941 32.058 < 2e-16 ***
DESTIN_HEX458 2.0141497 0.0880305 22.880 < 2e-16 ***
DESTIN_HEX459 -0.0380114 0.0894872 -0.425 0.671005
DESTIN_HEX460 0.6077920 0.0880352 6.904 5.06e-12 ***
DESTIN_HEX461 0.0509946 0.0881189 0.579 0.562790
DESTIN_HEX462 0.2073864 0.0881047 2.354 0.018580 *
DESTIN_HEX463 -0.0221162 0.0882047 -0.251 0.802017
DESTIN_HEX464 0.4106141 0.0903419 4.545 5.49e-06 ***
DESTIN_HEX465 -1.4440924 0.0900809 -16.031 < 2e-16 ***
DESTIN_HEX466 0.4681889 0.0881507 5.311 1.09e-07 ***
DESTIN_HEX467 0.8574709 0.0880655 9.737 < 2e-16 ***
DESTIN_HEX468 1.5975643 0.0879725 18.160 < 2e-16 ***
DESTIN_HEX469 1.5477322 0.0879810 17.592 < 2e-16 ***
DESTIN_HEX470 0.3249797 0.0886461 3.666 0.000246 ***
DESTIN_HEX471 1.5154594 0.0881049 17.201 < 2e-16 ***
DESTIN_HEX472 1.9357713 0.0879237 22.016 < 2e-16 ***
DESTIN_HEX473 1.5958469 0.0879937 18.136 < 2e-16 ***
DESTIN_HEX474 2.2768433 0.0888472 25.626 < 2e-16 ***
DESTIN_HEX475 1.3369642 0.0879156 15.207 < 2e-16 ***
DESTIN_HEX476 0.0573096 0.0881573 0.650 0.515638
DESTIN_HEX477 1.2589465 0.0879225 14.319 < 2e-16 ***
DESTIN_HEX478 0.8770672 0.0879933 9.967 < 2e-16 ***
DESTIN_HEX479 0.3251623 0.0881028 3.691 0.000224 ***
DESTIN_HEX480 0.0540216 0.0883043 0.612 0.540693
DESTIN_HEX481 0.6400107 0.0881381 7.261 3.83e-13 ***
DESTIN_HEX482 0.4945379 0.0881365 5.611 2.01e-08 ***
DESTIN_HEX483 1.3094059 0.0879898 14.881 < 2e-16 ***
DESTIN_HEX484 0.8380798 0.0881209 9.511 < 2e-16 ***
DESTIN_HEX485 1.7593703 0.0879937 19.994 < 2e-16 ***
DESTIN_HEX486 1.5589143 0.0880346 17.708 < 2e-16 ***
DESTIN_HEX487 0.7731121 0.0880506 8.780 < 2e-16 ***
DESTIN_HEX488 1.6250076 0.0878981 18.487 < 2e-16 ***
DESTIN_HEX489 1.2710633 0.0879121 14.458 < 2e-16 ***
DESTIN_HEX490 -0.9761085 0.0897489 -10.876 < 2e-16 ***
DESTIN_HEX491 1.1352358 0.0879642 12.906 < 2e-16 ***
DESTIN_HEX492 1.2316156 0.0879362 14.006 < 2e-16 ***
DESTIN_HEX493 -1.7422344 0.0912385 -19.095 < 2e-16 ***
DESTIN_HEX494 1.5725693 0.0879373 17.883 < 2e-16 ***
DESTIN_HEX495 1.9556679 0.0878937 22.250 < 2e-16 ***
DESTIN_HEX496 2.4354780 0.0878890 27.711 < 2e-16 ***
DESTIN_HEX497 -0.7163338 0.0897584 -7.981 1.46e-15 ***
DESTIN_HEX498 0.9852001 0.0884202 11.142 < 2e-16 ***
DESTIN_HEX499 1.9998773 0.0879825 22.730 < 2e-16 ***
DESTIN_HEX500 1.1675669 0.0884492 13.200 < 2e-16 ***
DESTIN_HEX501 0.6213566 0.0880124 7.060 1.67e-12 ***
DESTIN_HEX502 0.7821266 0.0879747 8.890 < 2e-16 ***
DESTIN_HEX503 0.0596591 0.0882154 0.676 0.498857
DESTIN_HEX504 -0.0715229 0.0883387 -0.810 0.418145
DESTIN_HEX505 0.9758399 0.0879942 11.090 < 2e-16 ***
DESTIN_HEX506 1.7304299 0.0879324 19.679 < 2e-16 ***
DESTIN_HEX507 2.1594816 0.0878935 24.569 < 2e-16 ***
DESTIN_HEX508 0.9316428 0.0879980 10.587 < 2e-16 ***
DESTIN_HEX509 1.2075521 0.0879576 13.729 < 2e-16 ***
DESTIN_HEX510 -0.4901156 0.0889899 -5.508 3.64e-08 ***
DESTIN_HEX511 2.4914422 0.0879543 28.327 < 2e-16 ***
DESTIN_HEX512 1.6399737 0.0881558 18.603 < 2e-16 ***
DESTIN_HEX513 -0.3772844 0.0886254 -4.257 2.07e-05 ***
DESTIN_HEX514 0.3814140 0.0880669 4.331 1.48e-05 ***
DESTIN_HEX515 1.3084177 0.0879037 14.885 < 2e-16 ***
DESTIN_HEX516 1.6531137 0.0878976 18.807 < 2e-16 ***
DESTIN_HEX517 0.8904663 0.0879969 10.119 < 2e-16 ***
DESTIN_HEX518 2.4637955 0.0878652 28.041 < 2e-16 ***
DESTIN_HEX519 0.5057624 0.0880846 5.742 9.37e-09 ***
DESTIN_HEX520 0.4255643 0.0880910 4.831 1.36e-06 ***
DESTIN_HEX521 2.6207519 0.0878699 29.825 < 2e-16 ***
DESTIN_HEX522 -0.1137050 0.0885971 -1.283 0.199354
DESTIN_HEX523 -0.2196928 0.0891088 -2.465 0.013684 *
DESTIN_HEX524 1.1028766 0.0883065 12.489 < 2e-16 ***
DESTIN_HEX525 -0.2535406 0.0883693 -2.869 0.004116 **
DESTIN_HEX526 0.3506575 0.0880247 3.984 6.79e-05 ***
DESTIN_HEX527 1.3468760 0.0879041 15.322 < 2e-16 ***
DESTIN_HEX528 0.9962681 0.0879699 11.325 < 2e-16 ***
DESTIN_HEX529 1.1273638 0.0879602 12.817 < 2e-16 ***
DESTIN_HEX530 1.6852529 0.0879051 19.171 < 2e-16 ***
DESTIN_HEX531 1.4946194 0.0880078 16.983 < 2e-16 ***
DESTIN_HEX532 1.7187839 0.0879111 19.551 < 2e-16 ***
DESTIN_HEX533 1.4566056 0.0879505 16.562 < 2e-16 ***
DESTIN_HEX534 -1.8267377 0.1152549 -15.850 < 2e-16 ***
DESTIN_HEX535 -4.8957885 0.4562997 -10.729 < 2e-16 ***
DESTIN_HEX536 -0.1938636 0.0893826 -2.169 0.030089 *
DESTIN_HEX537 1.0397111 0.0879368 11.823 < 2e-16 ***
DESTIN_HEX538 1.3126742 0.0879697 14.922 < 2e-16 ***
DESTIN_HEX539 0.9918384 0.0879739 11.274 < 2e-16 ***
DESTIN_HEX540 1.6730771 0.0879707 19.019 < 2e-16 ***
DESTIN_HEX541 0.3312893 0.0881469 3.758 0.000171 ***
DESTIN_HEX542 -0.5519947 0.0887016 -6.223 4.88e-10 ***
DESTIN_HEX543 2.0785660 0.0878959 23.648 < 2e-16 ***
DESTIN_HEX544 0.5181814 0.0886102 5.848 4.98e-09 ***
DESTIN_HEX545 0.8287482 0.0882885 9.387 < 2e-16 ***
DESTIN_HEX546 0.6237584 0.0890881 7.002 2.53e-12 ***
DESTIN_HEX547 -1.0332957 0.1004886 -10.283 < 2e-16 ***
DESTIN_HEX548 -0.2258301 0.0889054 -2.540 0.011081 *
DESTIN_HEX549 0.3809958 0.0880945 4.325 1.53e-05 ***
DESTIN_HEX550 1.0648754 0.0879403 12.109 < 2e-16 ***
DESTIN_HEX551 0.9964427 0.0879463 11.330 < 2e-16 ***
DESTIN_HEX552 1.2532724 0.0879313 14.253 < 2e-16 ***
DESTIN_HEX553 2.3933523 0.0880107 27.194 < 2e-16 ***
DESTIN_HEX554 -0.6569994 0.0894154 -7.348 2.02e-13 ***
DESTIN_HEX555 0.3067695 0.0903383 3.396 0.000684 ***
DESTIN_HEX556 0.8114298 0.0882304 9.197 < 2e-16 ***
DESTIN_HEX557 -2.0279943 0.1059775 -19.136 < 2e-16 ***
DESTIN_HEX558 -0.7450299 0.0959202 -7.767 8.03e-15 ***
DESTIN_HEX559 0.5366765 0.0883326 6.076 1.23e-09 ***
DESTIN_HEX560 0.5055513 0.0898064 5.629 1.81e-08 ***
DESTIN_HEX561 1.0954183 0.0879407 12.456 < 2e-16 ***
DESTIN_HEX562 1.8910384 0.0878905 21.516 < 2e-16 ***
DESTIN_HEX563 1.3451100 0.0879765 15.289 < 2e-16 ***
DESTIN_HEX564 -1.5530217 0.0903402 -17.191 < 2e-16 ***
DESTIN_HEX565 0.5302734 0.0881061 6.019 1.76e-09 ***
DESTIN_HEX566 -0.7291116 0.0890243 -8.190 2.61e-16 ***
DESTIN_HEX567 -0.3436286 0.0887691 -3.871 0.000108 ***
DESTIN_HEX568 -0.4016526 0.0894942 -4.488 7.19e-06 ***
DESTIN_HEX569 -2.9269982 0.1253905 -23.343 < 2e-16 ***
DESTIN_HEX570 -1.9483035 0.1081485 -18.015 < 2e-16 ***
DESTIN_HEX571 -1.6353584 0.1047729 -15.609 < 2e-16 ***
DESTIN_HEX572 -0.4001678 0.0888458 -4.504 6.67e-06 ***
DESTIN_HEX573 -1.2278739 0.0890913 -13.782 < 2e-16 ***
DESTIN_HEX574 1.5150023 0.0879063 17.234 < 2e-16 ***
DESTIN_HEX575 0.5389445 0.0890122 6.055 1.41e-09 ***
DESTIN_HEX576 0.0293208 0.0883440 0.332 0.739970
DESTIN_HEX577 1.4137084 0.0880352 16.058 < 2e-16 ***
DESTIN_HEX578 -0.6144089 0.0889424 -6.908 4.92e-12 ***
DESTIN_HEX579 -2.5647277 0.1120437 -22.890 < 2e-16 ***
DESTIN_HEX580 -2.0667975 0.1115394 -18.530 < 2e-16 ***
DESTIN_HEX581 1.5093406 0.0884145 17.071 < 2e-16 ***
DESTIN_HEX582 0.4518240 0.0880495 5.131 2.87e-07 ***
DESTIN_HEX583 0.9241536 0.0879985 10.502 < 2e-16 ***
DESTIN_HEX584 1.6469322 0.0879367 18.729 < 2e-16 ***
DESTIN_HEX585 0.2441421 0.0881269 2.770 0.005600 **
DESTIN_HEX586 1.0960835 0.0879685 12.460 < 2e-16 ***
DESTIN_HEX587 1.3791710 0.0881610 15.644 < 2e-16 ***
DESTIN_HEX588 0.0522528 0.0884072 0.591 0.554489
DESTIN_HEX589 2.1386034 0.0879416 24.318 < 2e-16 ***
DESTIN_HEX590 2.0058528 0.0880118 22.791 < 2e-16 ***
DESTIN_HEX591 -1.5372098 0.1120381 -13.720 < 2e-16 ***
DESTIN_HEX592 0.5946884 0.0891689 6.669 2.57e-11 ***
DESTIN_HEX593 1.6612206 0.0879001 18.899 < 2e-16 ***
DESTIN_HEX594 0.4046162 0.0881260 4.591 4.40e-06 ***
DESTIN_HEX595 1.5904388 0.0879393 18.086 < 2e-16 ***
DESTIN_HEX596 2.6336654 0.0878708 29.972 < 2e-16 ***
DESTIN_HEX597 0.5149555 0.0881182 5.844 5.10e-09 ***
DESTIN_HEX598 2.3740406 0.0878928 27.011 < 2e-16 ***
DESTIN_HEX599 1.0600103 0.0881028 12.032 < 2e-16 ***
DESTIN_HEX600 1.0736860 0.0882153 12.171 < 2e-16 ***
DESTIN_HEX601 -2.1325665 0.1032158 -20.661 < 2e-16 ***
DESTIN_HEX602 -0.9510371 0.0919620 -10.342 < 2e-16 ***
DESTIN_HEX603 1.4015066 0.0879372 15.938 < 2e-16 ***
DESTIN_HEX604 -0.1191270 0.0885039 -1.346 0.178300
DESTIN_HEX605 0.8318082 0.0879916 9.453 < 2e-16 ***
DESTIN_HEX606 0.2417718 0.0883043 2.738 0.006183 **
DESTIN_HEX607 1.1224524 0.0879588 12.761 < 2e-16 ***
DESTIN_HEX608 1.4008862 0.0879540 15.927 < 2e-16 ***
DESTIN_HEX609 1.9991423 0.0879126 22.740 < 2e-16 ***
DESTIN_HEX610 2.1397365 0.0879795 24.321 < 2e-16 ***
DESTIN_HEX611 -2.8208288 0.1226118 -23.006 < 2e-16 ***
DESTIN_HEX612 1.7160958 0.0879023 19.523 < 2e-16 ***
DESTIN_HEX613 0.5660487 0.0880254 6.431 1.27e-10 ***
DESTIN_HEX614 -0.2758336 0.0898748 -3.069 0.002147 **
DESTIN_HEX615 1.3111121 0.0879460 14.908 < 2e-16 ***
DESTIN_HEX616 2.2531376 0.0878926 25.635 < 2e-16 ***
DESTIN_HEX617 2.7035272 0.0880080 30.719 < 2e-16 ***
DESTIN_HEX618 2.2155092 0.0880389 25.165 < 2e-16 ***
DESTIN_HEX619 0.7360361 0.0885911 8.308 < 2e-16 ***
DESTIN_HEX620 1.2111883 0.0879726 13.768 < 2e-16 ***
DESTIN_HEX621 0.7023382 0.0880111 7.980 1.46e-15 ***
DESTIN_HEX622 0.5899490 0.0881555 6.692 2.20e-11 ***
DESTIN_HEX623 0.0931361 0.0882202 1.056 0.291095
DESTIN_HEX624 -0.3402434 0.0885594 -3.842 0.000122 ***
DESTIN_HEX625 0.8646298 0.0881241 9.811 < 2e-16 ***
DESTIN_HEX626 1.7515476 0.0879445 19.917 < 2e-16 ***
DESTIN_HEX627 1.2653200 0.0881946 14.347 < 2e-16 ***
DESTIN_HEX628 1.1374997 0.0880470 12.919 < 2e-16 ***
DESTIN_HEX629 1.0374850 0.0879593 11.795 < 2e-16 ***
DESTIN_HEX630 1.1653026 0.0879437 13.251 < 2e-16 ***
DESTIN_HEX631 0.8319460 0.0880182 9.452 < 2e-16 ***
DESTIN_HEX632 1.6503478 0.0879353 18.768 < 2e-16 ***
DESTIN_HEX633 1.8353801 0.0879361 20.872 < 2e-16 ***
DESTIN_HEX634 2.0876681 0.0878966 23.751 < 2e-16 ***
DESTIN_HEX635 -0.3885432 0.0889016 -4.370 1.24e-05 ***
DESTIN_HEX636 2.1535700 0.0879739 24.480 < 2e-16 ***
DESTIN_HEX638 1.2693584 0.0879810 14.428 < 2e-16 ***
DESTIN_HEX639 1.2691436 0.0879415 14.432 < 2e-16 ***
DESTIN_HEX640 0.6305637 0.0880072 7.165 7.78e-13 ***
DESTIN_HEX641 -1.5137527 0.0907567 -16.679 < 2e-16 ***
DESTIN_HEX642 1.2948800 0.0879782 14.718 < 2e-16 ***
DESTIN_HEX643 1.7592438 0.0879109 20.012 < 2e-16 ***
DESTIN_HEX644 1.4636212 0.0879555 16.640 < 2e-16 ***
DESTIN_HEX645 2.0682825 0.0879207 23.524 < 2e-16 ***
DESTIN_HEX646 3.2803269 0.0881160 37.227 < 2e-16 ***
DESTIN_HEX647 0.4185678 0.0882043 4.745 2.08e-06 ***
DESTIN_HEX648 1.7020289 0.0879012 19.363 < 2e-16 ***
DESTIN_HEX649 0.4014402 0.0880543 4.559 5.14e-06 ***
DESTIN_HEX650 -0.7091344 0.0886402 -8.000 1.24e-15 ***
DESTIN_HEX651 1.8819840 0.0879143 21.407 < 2e-16 ***
DESTIN_HEX652 2.4840109 0.0878793 28.266 < 2e-16 ***
DESTIN_HEX653 1.8373860 0.0879259 20.897 < 2e-16 ***
DESTIN_HEX654 1.3653560 0.0880122 15.513 < 2e-16 ***
DESTIN_HEX655 -0.5001731 0.0934634 -5.352 8.72e-08 ***
DESTIN_HEX657 0.9860145 0.0880051 11.204 < 2e-16 ***
DESTIN_HEX658 0.4389410 0.0882163 4.976 6.50e-07 ***
DESTIN_HEX659 0.0470323 0.0882537 0.533 0.594088
DESTIN_HEX660 -1.3059391 0.0906564 -14.405 < 2e-16 ***
DESTIN_HEX661 1.3384522 0.0879861 15.212 < 2e-16 ***
DESTIN_HEX662 0.9707073 0.0880472 11.025 < 2e-16 ***
DESTIN_HEX663 2.5751392 0.0878880 29.300 < 2e-16 ***
DESTIN_HEX664 2.2013561 0.0879362 25.034 < 2e-16 ***
DESTIN_HEX665 1.5330965 0.0891455 17.198 < 2e-16 ***
DESTIN_HEX666 1.7619045 0.0879381 20.036 < 2e-16 ***
DESTIN_HEX667 0.4144965 0.0881507 4.702 2.57e-06 ***
DESTIN_HEX668 0.8879625 0.0880836 10.081 < 2e-16 ***
DESTIN_HEX669 -0.1911760 0.0883036 -2.165 0.030389 *
DESTIN_HEX670 -1.3133929 0.0932470 -14.085 < 2e-16 ***
DESTIN_HEX671 -1.5368679 0.0922772 -16.655 < 2e-16 ***
DESTIN_HEX672 1.9638403 0.0879398 22.332 < 2e-16 ***
DESTIN_HEX673 1.9005968 0.0879242 21.616 < 2e-16 ***
DESTIN_HEX674 1.9182943 0.0879268 21.817 < 2e-16 ***
DESTIN_HEX675 1.3489325 0.0881336 15.306 < 2e-16 ***
DESTIN_HEX676 1.2866775 0.0907633 14.176 < 2e-16 ***
DESTIN_HEX677 0.7496206 0.0880857 8.510 < 2e-16 ***
DESTIN_HEX678 1.7379488 0.0879007 19.772 < 2e-16 ***
DESTIN_HEX679 1.4278541 0.0879219 16.240 < 2e-16 ***
DESTIN_HEX680 1.9285211 0.0879907 21.917 < 2e-16 ***
DESTIN_HEX681 1.7692435 0.0879445 20.118 < 2e-16 ***
DESTIN_HEX682 2.5992035 0.0878965 29.571 < 2e-16 ***
DESTIN_HEX683 -0.1525183 0.0910689 -1.675 0.093982 .
DESTIN_HEX684 1.9265491 0.0879262 21.911 < 2e-16 ***
DESTIN_HEX685 0.6592447 0.0880615 7.486 7.09e-14 ***
DESTIN_HEX686 0.7743237 0.0879894 8.800 < 2e-16 ***
DESTIN_HEX687 -0.0993826 0.0883720 -1.125 0.260761
DESTIN_HEX688 -2.3494172 0.1074618 -21.863 < 2e-16 ***
DESTIN_HEX689 1.3786731 0.0881031 15.648 < 2e-16 ***
DESTIN_HEX690 3.1337722 0.0878739 35.662 < 2e-16 ***
DESTIN_HEX691 -0.1436909 0.0904116 -1.589 0.111993
DESTIN_HEX692 2.9985519 0.0884578 33.898 < 2e-16 ***
DESTIN_HEX693 1.1318562 0.0879770 12.865 < 2e-16 ***
DESTIN_HEX694 1.1530930 0.0879746 13.107 < 2e-16 ***
DESTIN_HEX695 1.7130901 0.0879206 19.485 < 2e-16 ***
DESTIN_HEX696 -1.4809999 0.0951414 -15.566 < 2e-16 ***
DESTIN_HEX697 2.5921398 0.0882286 29.380 < 2e-16 ***
DESTIN_HEX698 1.8696226 0.0879751 21.252 < 2e-16 ***
DESTIN_HEX700 1.6173205 0.0880033 18.378 < 2e-16 ***
DESTIN_HEX701 -0.3491520 0.0889421 -3.926 8.65e-05 ***
DESTIN_HEX702 1.6570153 0.0884487 18.734 < 2e-16 ***
DESTIN_HEX703 1.2643522 0.0879766 14.371 < 2e-16 ***
DESTIN_HEX704 -2.3191259 0.1018057 -22.780 < 2e-16 ***
DESTIN_HEX705 1.9495746 0.0879722 22.161 < 2e-16 ***
DESTIN_HEX706 2.3051829 0.0883426 26.094 < 2e-16 ***
DESTIN_HEX707 1.1815826 0.0879998 13.427 < 2e-16 ***
DESTIN_HEX708 -0.0501890 0.0882865 -0.568 0.569710
DESTIN_HEX709 0.1301192 0.0883565 1.473 0.140842
DESTIN_HEX710 -3.0775355 0.1190434 -25.852 < 2e-16 ***
DESTIN_HEX711 -2.7247715 0.1249346 -21.810 < 2e-16 ***
DESTIN_HEX712 1.5734281 0.0882459 17.830 < 2e-16 ***
DESTIN_HEX714 0.3431603 0.0882205 3.890 0.000100 ***
DESTIN_HEX715 1.5110054 0.0880018 17.170 < 2e-16 ***
DESTIN_HEX716 1.5122329 0.0879560 17.193 < 2e-16 ***
DESTIN_HEX717 -0.8208677 0.0914639 -8.975 < 2e-16 ***
DESTIN_HEX718 1.7241108 0.0882825 19.529 < 2e-16 ***
DESTIN_HEX719 1.0095631 0.0880834 11.461 < 2e-16 ***
DESTIN_HEX720 1.4704413 0.0879437 16.720 < 2e-16 ***
DESTIN_HEX721 1.9286410 0.0879295 21.934 < 2e-16 ***
DESTIN_HEX722 -1.8967741 0.0960103 -19.756 < 2e-16 ***
DESTIN_HEX724 0.5300645 0.0882469 6.007 1.89e-09 ***
DESTIN_HEX725 2.8423217 0.0878650 32.349 < 2e-16 ***
DESTIN_HEX726 0.7094654 0.0881223 8.051 8.22e-16 ***
DESTIN_HEX727 1.6951903 0.0879428 19.276 < 2e-16 ***
DESTIN_HEX728 -1.9105767 0.1078364 -17.717 < 2e-16 ***
DESTIN_HEX729 0.6948527 0.0882339 7.875 3.40e-15 ***
DESTIN_HEX730 -0.8738753 0.0888387 -9.837 < 2e-16 ***
DESTIN_HEX731 1.3908114 0.0879679 15.810 < 2e-16 ***
DESTIN_HEX732 0.1116368 0.0885293 1.261 0.207304
DESTIN_HEX733 1.5837595 0.0879539 18.007 < 2e-16 ***
DESTIN_HEX734 0.5541490 0.0881667 6.285 3.27e-10 ***
DESTIN_HEX735 0.9969602 0.0881074 11.315 < 2e-16 ***
DESTIN_HEX736 1.1491394 0.0880270 13.054 < 2e-16 ***
DESTIN_HEX737 1.3890419 0.0879283 15.797 < 2e-16 ***
DESTIN_HEX738 1.2517923 0.0879779 14.228 < 2e-16 ***
DESTIN_HEX739 1.8203862 0.0879238 20.704 < 2e-16 ***
DESTIN_HEX740 1.5523927 0.0879448 17.652 < 2e-16 ***
DESTIN_HEX741 0.7402090 0.0881575 8.396 < 2e-16 ***
DESTIN_HEX742 -0.4199443 0.0895365 -4.690 2.73e-06 ***
DESTIN_HEX743 1.3811840 0.0880442 15.687 < 2e-16 ***
DESTIN_HEX744 2.1078700 0.0879017 23.980 < 2e-16 ***
DESTIN_HEX745 1.2570267 0.0879506 14.292 < 2e-16 ***
DESTIN_HEX746 1.0391141 0.0879676 11.812 < 2e-16 ***
DESTIN_HEX747 0.5018865 0.0882331 5.688 1.28e-08 ***
DESTIN_HEX748 2.0883652 0.0879224 23.752 < 2e-16 ***
DESTIN_HEX749 0.9417070 0.0881346 10.685 < 2e-16 ***
DESTIN_HEX750 1.6628614 0.0879257 18.912 < 2e-16 ***
DESTIN_HEX751 -1.4178058 0.0923501 -15.353 < 2e-16 ***
DESTIN_HEX752 1.6175448 0.0879056 18.401 < 2e-16 ***
DESTIN_HEX753 1.1186394 0.0879754 12.715 < 2e-16 ***
DESTIN_HEX754 1.3302132 0.0879688 15.121 < 2e-16 ***
DESTIN_HEX755 -1.0871955 0.0908274 -11.970 < 2e-16 ***
DESTIN_HEX756 1.5400395 0.0879755 17.505 < 2e-16 ***
DESTIN_HEX757 0.4079682 0.0881449 4.628 3.69e-06 ***
DESTIN_HEX758 -1.4158974 0.0916340 -15.452 < 2e-16 ***
DESTIN_HEX759 2.8731069 0.0878655 32.699 < 2e-16 ***
DESTIN_HEX760 1.2267140 0.0880477 13.932 < 2e-16 ***
DESTIN_HEX761 1.5099247 0.0879805 17.162 < 2e-16 ***
DESTIN_HEX762 0.5842448 0.0882705 6.619 3.62e-11 ***
DESTIN_HEX763 1.9403842 0.0879213 22.070 < 2e-16 ***
DESTIN_HEX764 0.3635454 0.0881534 4.124 3.72e-05 ***
DESTIN_HEX765 1.0555442 0.0879511 12.001 < 2e-16 ***
DESTIN_HEX766 0.5091809 0.0881450 5.777 7.62e-09 ***
DESTIN_HEX767 2.5242183 0.0878871 28.721 < 2e-16 ***
DESTIN_HEX768 -1.9481585 0.1035636 -18.811 < 2e-16 ***
DESTIN_HEX769 -0.8101981 0.1221455 -6.633 3.29e-11 ***
DESTIN_HEX770 -0.7831749 0.0893151 -8.769 < 2e-16 ***
DESTIN_HEX771 0.0881406 0.0882512 0.999 0.317918
DESTIN_HEX772 1.3686571 0.0879720 15.558 < 2e-16 ***
DESTIN_HEX773 0.9490131 0.0879706 10.788 < 2e-16 ***
DESTIN_HEX774 0.3517773 0.0882109 3.988 6.67e-05 ***
DESTIN_HEX775 -2.5493702 0.1025387 -24.863 < 2e-16 ***
DESTIN_HEX776 0.0038488 0.0887140 0.043 0.965395
DESTIN_HEX777 -0.0566971 0.0886505 -0.640 0.522460
DESTIN_HEX778 1.6409201 0.0879150 18.665 < 2e-16 ***
DESTIN_HEX779 1.9017919 0.0879503 21.623 < 2e-16 ***
DESTIN_HEX780 1.1613767 0.0879992 13.198 < 2e-16 ***
DESTIN_HEX781 0.8358506 0.0884779 9.447 < 2e-16 ***
DESTIN_HEX782 -1.0220237 0.0893401 -11.440 < 2e-16 ***
DESTIN_HEX783 1.4560067 0.0879619 16.553 < 2e-16 ***
DESTIN_HEX784 2.1312868 0.0878925 24.249 < 2e-16 ***
DESTIN_HEX785 2.1374621 0.0879105 24.314 < 2e-16 ***
DESTIN_HEX786 1.4187898 0.0880289 16.117 < 2e-16 ***
DESTIN_HEX787 0.9830730 0.0880304 11.167 < 2e-16 ***
DESTIN_HEX788 0.6300195 0.0881705 7.145 8.97e-13 ***
DESTIN_HEX789 1.0635991 0.0879937 12.087 < 2e-16 ***
DESTIN_HEX790 1.4932132 0.0879897 16.970 < 2e-16 ***
DESTIN_HEX791 0.1659247 0.0886554 1.872 0.061266 .
DESTIN_HEX792 -0.3595857 0.0887758 -4.050 5.11e-05 ***
DESTIN_HEX793 0.9223970 0.0880610 10.475 < 2e-16 ***
DESTIN_HEX794 1.4369345 0.0879654 16.335 < 2e-16 ***
DESTIN_HEX795 0.6018619 0.0901082 6.679 2.40e-11 ***
DESTIN_HEX796 -1.2390513 0.1048366 -11.819 < 2e-16 ***
DESTIN_HEX797 -1.1479273 0.0909191 -12.626 < 2e-16 ***
DESTIN_HEX798 -1.1326337 0.0913088 -12.404 < 2e-16 ***
DESTIN_HEX799 1.2913075 0.0880467 14.666 < 2e-16 ***
DESTIN_HEX800 -0.9680251 0.0895917 -10.805 < 2e-16 ***
DESTIN_HEX801 -1.3060344 0.0951811 -13.722 < 2e-16 ***
DESTIN_HEX802 -0.8258131 0.0920506 -8.971 < 2e-16 ***
DESTIN_HEX803 0.5149852 0.0886453 5.810 6.27e-09 ***
DESTIN_HEX804 -0.8520010 0.0895682 -9.512 < 2e-16 ***
DESTIN_HEX805 -2.1965570 0.0993366 -22.112 < 2e-16 ***
DESTIN_HEX806 -1.7163672 0.0942002 -18.220 < 2e-16 ***
DESTIN_HEX807 -0.7421391 0.0902234 -8.226 < 2e-16 ***
DESTIN_HEX808 -0.2414295 0.0887973 -2.719 0.006550 **
DESTIN_HEX809 -1.4620128 0.1021651 -14.310 < 2e-16 ***
DESTIN_HEX810 -1.0541116 0.0956078 -11.025 < 2e-16 ***
DESTIN_HEX811 0.5238931 0.0887321 5.904 3.54e-09 ***
DESTIN_HEX812 -1.5603437 0.0907689 -17.190 < 2e-16 ***
DESTIN_HEX813 -2.2510314 0.1062897 -21.178 < 2e-16 ***
DESTIN_HEX814 -0.4784424 0.0903161 -5.297 1.17e-07 ***
DESTIN_HEX815 -2.3646424 0.1045509 -22.617 < 2e-16 ***
DESTIN_HEX816 -0.9334291 0.0899004 -10.383 < 2e-16 ***
DESTIN_HEX817 0.9381132 0.0883660 10.616 < 2e-16 ***
DESTIN_HEX818 2.0229084 0.0881149 22.958 < 2e-16 ***
DESTIN_HEX819 0.9417704 0.0885320 10.638 < 2e-16 ***
DESTIN_HEX820 1.8503207 0.0889758 20.796 < 2e-16 ***
DESTIN_HEX821 1.5497210 0.0881127 17.588 < 2e-16 ***
DESTIN_HEX822 -0.0125229 0.0885791 -0.141 0.887573
DESTIN_HEX823 -0.2401522 0.0888730 -2.702 0.006888 **
DESTIN_HEX824 -0.8947610 0.0898045 -9.963 < 2e-16 ***
DESTIN_HEX825 0.3891188 0.0905514 4.297 1.73e-05 ***
DESTIN_HEX826 -0.6397907 0.0893847 -7.158 8.20e-13 ***
DESTIN_HEX827 -1.0178978 0.0896316 -11.356 < 2e-16 ***
DESTIN_HEX828 -2.6135883 0.0989159 -26.422 < 2e-16 ***
DESTIN_HEX829 -1.5356793 0.0934829 -16.427 < 2e-16 ***
DESTIN_HEX830 -0.2394955 0.0888773 -2.695 0.007046 **
DESTIN_HEX831 -0.4668885 0.1060244 -4.404 1.06e-05 ***
log(dist) -1.6045515 0.0002857 -5615.262 < 2e-16 ***
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
(Dispersion parameter for poisson family taken to be 1)
Null deviance: 92488055 on 67736 degrees of freedom
Residual deviance: 22253173 on 66108 degrees of freedom
AIC: 22626824
Number of Fisher Scoring iterations: 8
- In case R/Quarto crashes, we add a copy of relevant coefficient readouts here for
dbcSIM
:
Coefficients:
Estimate Std. Error z value Pr(>|z|)
log(dist) -1.6045515 0.0002857 -5615.262 < 2e-16 ***
4.6c Commentary on dbcSIM
- Once again, we compare the size of the coefficients to assess the impact of the explanatory factors;
- As above, the decay factor,
log(dist)
, is clearly a strong determinant of the number of trips, with coefficient of -1.60 and a low z-value, indicating strong statistical significance.
- As above, the decay factor,
show code
CalcRSquared(dbcSIM$data$SUM_TRIPS, dbcSIM$fitted.values)
- The R-squared value of 0.586 is also higher than for other models, suggesting it performs better. Now it is approaching good performance.
4.7RMSE Model Comparison by RMSE
- Aggregating all 4 models by RMSE, we perform the following printout:
show code
<- list(
model_list Unconstrained = uncSIM,
Origin_Constrained = orcSIM,
Destination_Constrained = decSIM,
Doubly_Constrained = dbcSIM)
compare_performance(model_list,
metrics = "RMSE")
- It appears that the doubly-constrained model performs best, with the lowest error;
dbcSIM
relies only on the identity of the origin and destination hexes, without any of the attractiveness/propulsiveness variables we have selected for analysis. Another way to say it is that the identity of each hexagon is unique, and thus encodes some variety of specific attractiveness/propulsiveness variables beyond our analysis.- It is possible, if we gather more data and more variables, to build a better model and thus approach the performance/RMSE of our doubly-constrained SIM model.
- The slight edge on Origin-Constrained model (i.e. RMSE slightly lower than for Destination_Constrained) suggests our choice of propulsiveness variables outperform our choices on attractiveness variables.
- However, my intuition is simply that the MRT Station Exits are simply too strong a factor for bus trip origin. Given more time, we should repeat with MRT Stations on both Origin and Destination models.
4.7g Model Comparison by Goodness-of-Fit
- Finally, we can perform a quick scatterplot to show the goodness-of-fit of our fitted values, across all 4 models.
show code
<- as.data.frame(uncSIM$fitted.values) %>%
uncSIM_df round(digits = 0)
<- as.data.frame(orcSIM$fitted.values) %>%
orcSIM_df round(digits = 0)
<- as.data.frame(decSIM$fitted.values) %>%
decSIM_df round(digits = 0)
<- as.data.frame(dbcSIM$fitted.values) %>%
dbcSIM_df round(digits = 0)
<- SIM_data %>%
model_comparison cbind(
uncSIM_df,
orcSIM_df,
decSIM_df,
dbcSIM_df %>%
) rename(
uncTRIPS = "uncSIM$fitted.values",
orcTRIPS = "orcSIM$fitted.values",
decTRIPS = "decSIM$fitted.values",
dbcTRIPS = "dbcSIM$fitted.values"
)
write_rds(model_comparison, "data/rds/model_comparison.rds")
model_comparison
- Here we again use the read/write RDS trick.
show code
<- read_rds("data/rds/model_comparison.rds")
model_comparison <- ggplot(data = model_comparison,
orc_p aes(x = orcTRIPS,
y = SUM_TRIPS)) +
geom_point() +
geom_smooth(method = lm) +
coord_cartesian(xlim=c(0,100000),
ylim=c(0,100000))
<- ggplot(data = model_comparison,
dbc_p aes(x = dbcTRIPS,
y = SUM_TRIPS)) +
geom_point() +
geom_smooth(method = lm) +
coord_cartesian(xlim=c(0,100000),
ylim=c(0,100000))
<- ggplot(data = model_comparison,
unc_p aes(x = uncTRIPS,
y = SUM_TRIPS)) +
geom_point() +
geom_smooth(method = lm) +
coord_cartesian(xlim=c(0,100000),
ylim=c(0,100000))
<- ggplot(data = model_comparison,
dec_p aes(x = decTRIPS,
y = SUM_TRIPS)) +
geom_point() +
geom_smooth(method = lm) +
coord_cartesian(xlim=c(0,100000),
ylim=c(0,100000))
+ orc_p) / (dec_p + dbc_p) (unc_p
`geom_smooth()` using formula = 'y ~ x'
`geom_smooth()` using formula = 'y ~ x'
`geom_smooth()` using formula = 'y ~ x'
`geom_smooth()` using formula = 'y ~ x'
- Overall, it looks like the doubly-constrained model (dbcTRIPS) shows better fit for most points and outliers compared to the other models;
- It reiterates what was said in Section 4.7RMSE, that the doubly-constrained model performs best.
5. Summary and Future Work
- Overall, we can observe that the flow patterns of public transportation are highly complex.
- Existing Transportation Systems Work. It appears the current flow of bus traffic on weekday evenings does cater to the expected regions (from CBD areas, towards residential areas, with transit hubs near MRT Stations). However, we must be careful not to fall for a logical fallacy of only looking at data that is there.
- Most commuters have no alternatives but to take public transport, so it makes sense that our data shows that existing public transport is utilised and popular.
- However, this does not include untracked travel, including people who walk between stations/stops, or use alternative transports like shuttle buses, (rental) bicycles, and so on.
- It’s also possible that routes that have not been catered for result in people relying on taxi or ride-hailing services.
- However, it must be acknowledged that the interplay of bus-and-MRT Stations do work.
- More Data Is Needed. It’s clear that of our four Spatial Interaction Models, the best-performing model disregards the propulsiveness/attractiveness variables we have selected, in favour of dummy-encoding each analytical hexagon as its own dummy variables. As mentioned, this suggests that there are hidden variables that are not fully described by our analysis.
- It must be acknowledged that we did not do any data cleaning or feature selection, but this module is not focused on that.
- More Time Is Needed. Unfortunately we must also acknowledge our lack of time for analysis. In particular, our
HDB
dataset analysis leaves much to be desired; we only counted the number of HDB buildings and not the relative population living there. Indeed, we can envisage an entire study based on the HDB.csv, making use of the number of dwelling units or even the resident age groups, and fitting the best predictor to the dataset.