Better fix to data link issue
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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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@ -34,10 +34,10 @@ 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_read(dsn = "./../data/Schools/WI_schools.gpkg")
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WI_schools <- st_read(dsn = "./data/Schools/WI_schools.gpkg")
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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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@ -45,7 +45,7 @@ addresses <- read_csv(file="./../data/addresses/Addresses_Students_EastHS_2024_G
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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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@ -57,7 +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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@ -86,8 +86,8 @@ 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(addresses_near, dist = 500), crs = 4326))
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bbox <- st_bbox(st_transform(st_buffer(addresses_near, dist = 500), crs = 4326))
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@ -137,7 +137,7 @@ 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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@ -184,7 +184,7 @@ 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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@ -228,7 +228,7 @@ 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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