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Better fix to data link issue

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This commit is contained in:
syounkin 2024-10-31 13:28:44 -05:00
parent bec162ea4d
commit a389ec2b65
2 changed files with 10 additions and 10 deletions
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2
Makefile
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@ -1,5 +1,5 @@
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

18
R/route_analysis.Rmd
View File

@ -34,10 +34,10 @@ school_focus <- data.frame(name = c("East High School"), NCES_CODE = c("55085200
walk_boundary_m <- 1.5 * 1609
## load school locations
WI_schools <- st_read(dsn = "./../data/Schools/WI_schools.gpkg")
WI_schools <- st_read(dsn = "./data/Schools/WI_schools.gpkg")
## 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) %>%
st_as_sf(coords=c("lon","lat"), crs=4326) # remember x=lon and y=lat
@ -45,7 +45,7 @@ addresses <- read_csv(file="./../data/addresses/Addresses_Students_EastHS_2024_G
options(osrm.server = "http://127.0.0.1:5000/")
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
walk_boundary_poly <- fill_holes(st_make_valid(osrmIsodistance(
@ -57,7 +57,7 @@ walk_boundary_poly <- fill_holes(st_make_valid(osrmIsodistance(
addresses_near <- st_intersection(addresses, walk_boundary_poly)
## 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_scale <- data.frame(code = c(1, 2, 3, 4, 9),
@ -86,8 +86,8 @@ bike_lts <- st_join(bike_lts, bike_lts_buffer %>% select(OBJECTID, student_use))
## make maps
# load logo
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")
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")
bbox <- st_bbox(st_transform(st_buffer(addresses_near, dist = 500), crs = 4326))
@ -137,7 +137,7 @@ ggmap(basemap) +
label.size = 0.04,
size = 2)
ggsave(file = paste0("./../figures/",
ggsave(file = paste0("./figures/",
school_focus %>% pull(name),
" Routes.pdf"),
title = paste0(school_focus %>% pull(name), " Walking Routes"),
@ -184,7 +184,7 @@ ggmap(basemap) +
nudge_y = 0.0015,
label.size = 0.04,
size = 2)
ggsave(file = paste0("./../figures/",
ggsave(file = paste0("./figures/",
school_focus %>% pull(name),
" Routes - Traffic Stress.pdf"),
title = paste0(school_focus %>% pull(name), " Walking Routes - Traffic Stress"),
@ -228,7 +228,7 @@ ggmap(basemap) +
nudge_y = 0.0015,
label.size = 0.04,
size = 2)
ggsave(file = paste0("./../figures/",
ggsave(file = paste0("./figures/",
school_focus %>% pull(name),
" Addresses.pdf"),
title = paste0(school_focus %>% pull(name), " Addresses"),