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3 changed files with 10 additions and 13 deletions
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.gitignore vendored
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@ -18,4 +18,3 @@ data-bkup
*.bak *.bak
archive/ archive/
trash/ trash/
api_key

2
Makefile
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@ -1,5 +1,5 @@
route_analysis: R/route_analysis.Rmd route_analysis: R/route_analysis.Rmd
R -e 'library("rmarkdown"); old_path <- Sys.getenv("PATH"); Sys.setenv(PATH = paste(old_path, "/usr/local/bin", sep = ":")); rmarkdown::render(knit_root_dir = "./../", output_dir = "./html", input = "./R/route_analysis.Rmd", output_file = "./html/route_analysis.html")' R -e 'library("rmarkdown"); old_path <- Sys.getenv("PATH"); Sys.setenv(PATH = paste(old_path, "/usr/local/bin", sep = ":")); rmarkdown::render(knit_root_dir = "./", output_dir = "./html", input = "./R/route_analysis.Rmd", output_file = "./html/route_analysis.html")'
clean: clean-data clean-figure clean-script clean: clean-data clean-figure clean-script

20
R/route_analysis.Rmd
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@ -19,7 +19,6 @@ library(osrm)
library(smoothr) library(smoothr)
library(magick) library(magick)
library(ggnewscale) library(ggnewscale)
library(rsvg)
fig.height <- 6 fig.height <- 6
set.seed(1) set.seed(1)
``` ```
@ -34,12 +33,11 @@ school_focus <- data.frame(name = c("East High School"), NCES_CODE = c("55085200
walk_boundary_m <- 1.5 * 1609 walk_boundary_m <- 1.5 * 1609
## load school locations ## load school locations
WI_schools <- st_transform(st_read(dsn = "../data/Schools/Wisconsin_Public_Schools_-5986231931870160084.gpkg"), crs = 4326)
WI_schools <- st_transform(st_read(dsn = "data/Schools/Wisconsin_Public_Schools_-5986231931870160084.gpkg"), crs = 4326)
WI_schools <- WI_schools %>% mutate(geom = SHAPE) WI_schools <- WI_schools %>% mutate(geom = SHAPE)
## load addresses ## load addresses
addresses <- read_csv(file="data/addresses/Addresses_Students_EastHS_2024_GeocodeResults.csv") %>% addresses <- read_csv(file="../data/addresses/Addresses_Students_EastHS_2024_GeocodeResults.csv") %>%
filter(lat > 0) %>% filter(lat > 0) %>%
st_as_sf(coords=c("lon","lat"), crs=4326) # remember x=lon and y=lat st_as_sf(coords=c("lon","lat"), crs=4326) # remember x=lon and y=lat
@ -47,7 +45,7 @@ addresses <- read_csv(file="data/addresses/Addresses_Students_EastHS_2024_Geocod
options(osrm.server = "http://127.0.0.1:5000/") options(osrm.server = "http://127.0.0.1:5000/")
options(osrm.profile = "walk") options(osrm.profile = "walk")
register_stadiamaps(key = substr(read_file(file = "api_keys/stadia_api_key"), 1, 36)) register_stadiamaps(key = substr(read_file(file = "../api_keys/stadia_api_key"), 1, 36))
## subset addresses within 1.5 miles ## subset addresses within 1.5 miles
walk_boundary_poly <- fill_holes(st_make_valid(osrmIsodistance( walk_boundary_poly <- fill_holes(st_make_valid(osrmIsodistance(
@ -59,7 +57,7 @@ walk_boundary_poly <- fill_holes(st_make_valid(osrmIsodistance(
addresses_near <- st_intersection(addresses, walk_boundary_poly) addresses_near <- st_intersection(addresses, walk_boundary_poly)
## load bike tls ## load bike tls
bike_lts <- st_read("data/bike_lts/bike_lts_DANE.geojson") bike_lts <- st_read("../data/bike_lts/bike_lts_DANE.geojson")
bike_lts[["lts"]] <- as.factor(bike_lts$LTS_F) bike_lts[["lts"]] <- as.factor(bike_lts$LTS_F)
bike_lts_scale <- data.frame(code = c(1, 2, 3, 4, 9), bike_lts_scale <- data.frame(code = c(1, 2, 3, 4, 9),
@ -90,8 +88,8 @@ bike_lts <- st_join(bike_lts, bike_lts_buffer %>% select(OBJECTID, student_use))
## make maps ## make maps
# load logo # load logo
logo <- image_read(path = "other/BFW_Logo_180_x_200_transparent_background.png") logo <- image_read(path = "../other/BFW_Logo_180_x_200_transparent_background.png")
school_symbol <- image_read_svg(path = "other/school_FILL0_wght400_GRAD0_opsz24.svg") school_symbol <- image_read_svg(path = "../other/school_FILL0_wght400_GRAD0_opsz24.svg")
bbox <- st_bbox(st_transform(st_buffer(walk_boundary_poly, dist = 500), crs = 4326)) bbox <- st_bbox(st_transform(st_buffer(walk_boundary_poly, dist = 500), crs = 4326))
@ -141,7 +139,7 @@ ggmap(basemap) +
label.size = 0.04, label.size = 0.04,
size = 2) size = 2)
ggsave(file = paste0("figures/", ggsave(file = paste0("../figures/",
school_focus %>% pull(name), school_focus %>% pull(name),
" Routes.pdf"), " Routes.pdf"),
title = paste0(school_focus %>% pull(name), " Walking Routes"), title = paste0(school_focus %>% pull(name), " Walking Routes"),
@ -188,7 +186,7 @@ ggmap(basemap) +
nudge_y = 0.0015, nudge_y = 0.0015,
label.size = 0.04, label.size = 0.04,
size = 2) size = 2)
ggsave(file = paste0("figures/", ggsave(file = paste0("../figures/",
school_focus %>% pull(name), school_focus %>% pull(name),
" Routes - Traffic Stress.pdf"), " Routes - Traffic Stress.pdf"),
title = paste0(school_focus %>% pull(name), " Walking Routes - Traffic Stress"), title = paste0(school_focus %>% pull(name), " Walking Routes - Traffic Stress"),
@ -232,7 +230,7 @@ ggmap(basemap) +
nudge_y = 0.0015, nudge_y = 0.0015,
label.size = 0.04, label.size = 0.04,
size = 2) size = 2)
ggsave(file = paste0("figures/", ggsave(file = paste0("../figures/",
school_focus %>% pull(name), school_focus %>% pull(name),
" Addresses.pdf"), " Addresses.pdf"),
title = paste0(school_focus %>% pull(name), " Addresses"), title = paste0(school_focus %>% pull(name), " Addresses"),