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3bd9080f67
1
.gitignore
vendored
1
.gitignore
vendored
@ -18,4 +18,3 @@ data-bkup
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*.bak
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*.bak
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archive/
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archive/
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trash/
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trash/
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api_key
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2
Makefile
2
Makefile
@ -1,5 +1,5 @@
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route_analysis: R/route_analysis.Rmd
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route_analysis: R/route_analysis.Rmd
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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")'
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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")'
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clean: clean-data clean-figure clean-script
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clean: clean-data clean-figure clean-script
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@ -19,7 +19,6 @@ library(osrm)
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library(smoothr)
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library(smoothr)
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library(magick)
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library(magick)
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library(ggnewscale)
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library(ggnewscale)
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library(rsvg)
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fig.height <- 6
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fig.height <- 6
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set.seed(1)
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set.seed(1)
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```
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```
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@ -34,12 +33,11 @@ school_focus <- data.frame(name = c("East High School"), NCES_CODE = c("55085200
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walk_boundary_m <- 1.5 * 1609
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walk_boundary_m <- 1.5 * 1609
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## load school locations
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## load school locations
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WI_schools <- st_transform(st_read(dsn = "../data/Schools/Wisconsin_Public_Schools_-5986231931870160084.gpkg"), crs = 4326)
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WI_schools <- st_transform(st_read(dsn = "data/Schools/Wisconsin_Public_Schools_-5986231931870160084.gpkg"), crs = 4326)
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WI_schools <- WI_schools %>% mutate(geom = SHAPE)
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WI_schools <- WI_schools %>% mutate(geom = SHAPE)
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## load addresses
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## load addresses
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addresses <- read_csv(file="data/addresses/Addresses_Students_EastHS_2024_GeocodeResults.csv") %>%
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addresses <- read_csv(file="../data/addresses/Addresses_Students_EastHS_2024_GeocodeResults.csv") %>%
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filter(lat > 0) %>%
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filter(lat > 0) %>%
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st_as_sf(coords=c("lon","lat"), crs=4326) # remember x=lon and y=lat
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st_as_sf(coords=c("lon","lat"), crs=4326) # remember x=lon and y=lat
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@ -47,7 +45,7 @@ addresses <- read_csv(file="data/addresses/Addresses_Students_EastHS_2024_Geocod
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options(osrm.server = "http://127.0.0.1:5000/")
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options(osrm.server = "http://127.0.0.1:5000/")
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options(osrm.profile = "walk")
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options(osrm.profile = "walk")
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register_stadiamaps(key = substr(read_file(file = "api_keys/stadia_api_key"), 1, 36))
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register_stadiamaps(key = substr(read_file(file = "../api_keys/stadia_api_key"), 1, 36))
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## subset addresses within 1.5 miles
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## subset addresses within 1.5 miles
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walk_boundary_poly <- fill_holes(st_make_valid(osrmIsodistance(
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walk_boundary_poly <- fill_holes(st_make_valid(osrmIsodistance(
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@ -59,7 +57,7 @@ walk_boundary_poly <- fill_holes(st_make_valid(osrmIsodistance(
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addresses_near <- st_intersection(addresses, walk_boundary_poly)
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addresses_near <- st_intersection(addresses, walk_boundary_poly)
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## load bike tls
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## load bike tls
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bike_lts <- st_read("data/bike_lts/bike_lts_DANE.geojson")
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bike_lts <- st_read("../data/bike_lts/bike_lts_DANE.geojson")
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bike_lts[["lts"]] <- as.factor(bike_lts$LTS_F)
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bike_lts[["lts"]] <- as.factor(bike_lts$LTS_F)
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bike_lts_scale <- data.frame(code = c(1, 2, 3, 4, 9),
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bike_lts_scale <- data.frame(code = c(1, 2, 3, 4, 9),
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@ -90,8 +88,8 @@ bike_lts <- st_join(bike_lts, bike_lts_buffer %>% select(OBJECTID, student_use))
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## make maps
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## make maps
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# load logo
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# load logo
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logo <- image_read(path = "other/BFW_Logo_180_x_200_transparent_background.png")
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logo <- image_read(path = "../other/BFW_Logo_180_x_200_transparent_background.png")
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school_symbol <- image_read_svg(path = "other/school_FILL0_wght400_GRAD0_opsz24.svg")
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school_symbol <- image_read_svg(path = "../other/school_FILL0_wght400_GRAD0_opsz24.svg")
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bbox <- st_bbox(st_transform(st_buffer(walk_boundary_poly, dist = 500), crs = 4326))
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bbox <- st_bbox(st_transform(st_buffer(walk_boundary_poly, dist = 500), crs = 4326))
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@ -141,7 +139,7 @@ ggmap(basemap) +
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label.size = 0.04,
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label.size = 0.04,
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size = 2)
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size = 2)
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ggsave(file = paste0("figures/",
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ggsave(file = paste0("../figures/",
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school_focus %>% pull(name),
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school_focus %>% pull(name),
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" Routes.pdf"),
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" Routes.pdf"),
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title = paste0(school_focus %>% pull(name), " Walking Routes"),
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title = paste0(school_focus %>% pull(name), " Walking Routes"),
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@ -188,7 +186,7 @@ ggmap(basemap) +
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nudge_y = 0.0015,
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nudge_y = 0.0015,
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label.size = 0.04,
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label.size = 0.04,
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size = 2)
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size = 2)
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ggsave(file = paste0("figures/",
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ggsave(file = paste0("../figures/",
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school_focus %>% pull(name),
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school_focus %>% pull(name),
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" Routes - Traffic Stress.pdf"),
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" Routes - Traffic Stress.pdf"),
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title = paste0(school_focus %>% pull(name), " Walking Routes - Traffic Stress"),
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title = paste0(school_focus %>% pull(name), " Walking Routes - Traffic Stress"),
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@ -232,7 +230,7 @@ ggmap(basemap) +
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nudge_y = 0.0015,
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nudge_y = 0.0015,
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label.size = 0.04,
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label.size = 0.04,
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size = 2)
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size = 2)
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ggsave(file = paste0("figures/",
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ggsave(file = paste0("../figures/",
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school_focus %>% pull(name),
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school_focus %>% pull(name),
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" Addresses.pdf"),
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" Addresses.pdf"),
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title = paste0(school_focus %>% pull(name), " Addresses"),
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title = paste0(school_focus %>% pull(name), " Addresses"),
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