Create jittered route networks

[joeytalbot]

I've extracted OSM road data for cycling and driving, but I haven't been able to use this yet for a jittered route network due to the following error:

> od_car_jittered = odjitter::jitter(
+   od = lines_car,
+   zones = tyneandwear,
+   zone_name_key = "geo_code",
+   subpoints_origins = osm_drive,
+   disaggregation_threshold = disag_threshold,
+   disaggregation_key = "car_driver",
+   min_distance_meters = min_distance_meters
+ ) 
Error in UseMethod("st_write") : 
  no applicable method for 'st_write' applied to an object of class "NULL"

[Robinlovelace]

Sorry to hear it's not working. Can you reproduce the minimal example here? https://github.com/dabreegster/odjitter/blob/main/r/R/jitter.R#L33-L43

If not it's probably an issue with your installation of odjitter. If so it's probably an issue with the input data. Good luck with it!

[joeytalbot]

The example works. There must be some issues with the data.

[Robinlovelace]

OK, happy to take a look if you share a reproducible example. Good luck with it!

[joeytalbot]

I've managed to fix that error somehow, but now I'm getting a different one!

> od_foot_jittered = odjitter::jitter(
+   od = lines_foot,
+   zones = northeast,
+   # zone_name_key = "geo_code",
+   subpoints = osm_drive,
+   disaggregation_threshold = disag_threshold,
+   disaggregation_key = "foot",
+   min_distance_meters = min_distance_meters
+ ) 
Scraped 1460 zones from C:\Users\geojta\AppData\Local\Temp\Rtmpawvs7M/zones.geojson
Scraped 901049 subpoints from C:\Users\geojta\AppData\Local\Temp\Rtmpawvs7M/subpoints.geojson
Scraped 901049 subpoints from C:\Users\geojta\AppData\Local\Temp\Rtmpawvs7M/subpoints.geojson
Disaggregating OD data
thread 'main' panicked at 'no entry found for key', C:\Users\geojta\.cargo\git\checkouts\odjitter-2ee039e64a6d7c8d\00ba4b0\src\lib.rs:196:55
note: run with `RUST_BACKTRACE=1` environment variable to display a backtrace
Error: Cannot open "C:\Users\geojta\AppData\Local\Temp\Rtmpawvs7M\od_jittered.geojson"; The source could be corrupt or not supported. See `st_drivers()` for a list of supported formats.
In addition: Warning messages:
1: In CPL_read_ogr(dsn, layer, query, as.character(options), quiet,  :
  GDAL Error 1: At line 2, character 1: Unterminated array
2: In CPL_read_ogr(dsn, layer, query, as.character(options), quiet,  :
  GDAL Error 4: Failed to read GeoJSON data

There may be a problem with accessing "C:\Users\geojta\AppData\Local\Temp\Rtmpawvs7M\od_jittered.geojson", but this file does exist.

[joeytalbot]

Here's a reprex:

# Tyne and Wear census data -----------------------------------------------
library(pct)
#> Warning: package 'pct' was built under R version 4.1.3
library(tidyverse)
#> Warning: package 'ggplot2' was built under R version 4.1.3
#> Warning: package 'tibble' was built under R version 4.1.3
#> Warning: package 'readr' was built under R version 4.1.3
#> Warning: package 'purrr' was built under R version 4.1.3
#> Warning: package 'dplyr' was built under R version 4.1.3
#> Warning: package 'stringr' was built under R version 4.1.3

northeast = get_pct_zones("north-east")
northeast = northeast %>% 
  select(geo_code)

lines = get_pct(region = "north-east", purpose = "commute", geography = "msoa", layer = "l")
lines_tyneandwear = lines %>% 
  filter(lad_name1 == "Newcastle upon Tyne" | lad_name1 == "Sunderland" | 
           lad_name1 == "Gateshead" | lad_name1 == "North Tyneside" |  
           lad_name1 =="South Tyneside" | lad_name2 == "Newcastle upon Tyne" | 
           lad_name2 == "Sunderland" | lad_name2 == "Gateshead" | 
           lad_name2 == "North Tyneside" |  lad_name2 =="South Tyneside"
  )

lines_car = lines_tyneandwear %>% 
  filter(car_driver > 0) %>% 
  select(geo_code1, geo_code2, car_driver)


# OSM data ----------------------------------------------------------------

# Tags
et = c(
  "maxspeed",
  "oneway",
  "lanes",
  "ref",
  "surface",
  "segregated",
  "state",
  "network"
)

# Read-in road network data
osm_lines1 = osmextract::oe_get_network(
  place = "Tyne and Wear",
  mode = "driving",
  extra_tags = et
)
#> The input place was matched with: Tyne and Wear
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#> File downloaded!
#> Start with the vectortranslate operations on the input file!
#> 0...10...20...30...40...50...60...70...80...90...100 - done.
#> Finished the vectortranslate operations on the input file!
#> Reading layer `lines' from data source 
#>   `C:\Users\geojta\AppData\Local\Temp\Rtmp67TIH0\geofabrik_tyne-and-wear-latest.gpkg' 
#>   using driver `GPKG'
#> Simple feature collection with 54146 features and 19 fields
#> Geometry type: LINESTRING
#> Dimension:     XY
#> Bounding box:  xmin: -1.878213 ymin: 54.79363 xmax: -1.346884 ymax: 55.08401
#> Geodetic CRS:  WGS 84
osm_lines2 = osmextract::oe_get_network(
  place = "Northumberland",
  mode = "driving",
  extra_tags = et
)
#> The input place was matched with: Northumberland
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#> File downloaded!
#> Start with the vectortranslate operations on the input file!
#> 0...10...20...30...40...50...60...70...80...90...100 - done.
#> Finished the vectortranslate operations on the input file!
#> Reading layer `lines' from data source 
#>   `C:\Users\geojta\AppData\Local\Temp\Rtmp67TIH0\geofabrik_northumberland-latest.gpkg' 
#>   using driver `GPKG'
#> Simple feature collection with 34877 features and 19 fields
#> Geometry type: LINESTRING
#> Dimension:     XY
#> Bounding box:  xmin: -2.735143 ymin: 54.60299 xmax: -1.459093 ymax: 55.82127
#> Geodetic CRS:  WGS 84
osm_lines3 = osmextract::oe_get_network(
  place = "Durham",
  mode = "driving",
  extra_tags = et
)
#> The input place was matched with: Durham
#>   |                                                                              |                                                                      |   0%  |                                                                              |                                                                      |   1%  |                                                                              |=                                                                     |   1%  |                                                                              |=                                                                     |   2%  |                                                                              |==                                                                    |   2%  |                                                                              |==                                                                    |   3%  |                                               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#> File downloaded!
#> Start with the vectortranslate operations on the input file!
#> 0...10...20...30...40...50...60...70...80...90...100 - done.
#> Finished the vectortranslate operations on the input file!
#> Reading layer `lines' from data source 
#>   `C:\Users\geojta\AppData\Local\Temp\Rtmp67TIH0\geofabrik_durham-latest.gpkg' 
#>   using driver `GPKG'
#> Simple feature collection with 62808 features and 19 fields
#> Geometry type: LINESTRING
#> Dimension:     XY
#> Bounding box:  xmin: -2.356457 ymin: 54.38049 xmax: -1.162522 ymax: 54.93337
#> Geodetic CRS:  WGS 84
osm_lines = bind_rows(osm_lines1, osm_lines2, osm_lines3)

to_exclude = "services|bridleway|disused|emergency|escap|far|foot|path|pedestrian|rest|road|track"
osm_drive = osm_lines %>%
  filter(!str_detect(string = highway, pattern = to_exclude))

# Jittered routes ---------------------------------------------------------

min_distance_meters = 500
disag_threshold = 50

od_car_jittered = odjitter::jitter(
  od = lines_car,
  zones = northeast,
  zone_name_key = "geo_code",
  subpoints = osm_drive,
  disaggregation_threshold = disag_threshold,
  disaggregation_key = "car_driver",
  min_distance_meters = min_distance_meters
)
#> Warning in CPL_read_ogr(dsn, layer, query, as.character(options), quiet, : GDAL
#> Error 1: At line 2, character 1: Unterminated array
#> Warning in CPL_read_ogr(dsn, layer, query, as.character(options), quiet, : GDAL
#> Error 4: Failed to read GeoJSON data
#> Error: Cannot open "C:\Users\geojta\AppData\Local\Temp\Rtmp67TIH0\od_jittered.geojson"; The source could be corrupt or not supported. See `st_drivers()` for a list of supported formats.

^{Created on 2022-12-12 with reprex v2.0.2}

[joeytalbot]

This could be important:

thread 'main' panicked at 'no entry found for key', C:\Users\geojta\.cargo\git\checkouts\odjitter-2ee039e64a6d7c8d\00ba4b0\src\lib.rs:196:55

[joeytalbot]

It's working! There were some geo_codes that didn't match, I think they were from more distant locations.

[joeytalbot]

The geo_codes that don't match are all from Northumberland. There was probably a change in the coding system there at some point recently, and we are trying to compare different versions of these codes.

[joeytalbot]

I've got the Northumberland zones now

[joeytalbot]

I've created jittered routes, but there's a new error when I try to convert them into a route network:

> car_rnet = overline(
+   car_osrm, 
+   # attrib = c("car_driver", "car_passenger", "motorbike", "taxi_other")
+   attrib = "car_driver"
+   )
2022-12-12 13:40:46 constructing segments
2022-12-12 13:40:52 building geometry
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=03s  
2022-12-12 13:40:55 simplifying geometry
large data detected, using regionalisation, nrow = 161011
Error in FUN(X[[i]], ...) : subscript out of bounds

[Robinlovelace]

I suggest trying to cast the lines to LINESTRING form first with st_cast(). Does that help? I suggest sharing the file and asking @mem48 for any ideas if not.

[joeytalbot]

Thanks @Robinlovelace . The geometry is already LINESTRING. You can see the data here https://github.com/ITSLeeds/trafficsim/releases/download/0.1/car_jittered_osrm.Rds
I've asked Malcolm too so hopefully will find a solution.

[Robinlovelace]

No problem Joey. Have you tried running it on a small subset of the data, e.g.:

names(car_osrm)
car_rnet = overline(
 car_osrm[1:9, ],
 attrib = "car_driver"
  )

Good luck with it and keep us posted on updates.

[joeytalbot]

Using the first 9 rows only, the function works correctly:

car_rnet = overline(
 car_osrm[1:9, ],
 attrib = "car_driver"
  )

[Robinlovelace]

Good to know. I suggest trying different subsets of the data to try to identify the one that's failing. Good luck with it and sounds like progress!