diff --git a/.gitignore b/.gitignore index 7eb9b56..97d5fbc 100644 --- a/.gitignore +++ b/.gitignore @@ -18,4 +18,3 @@ data-bkup *.bak archive/ trash/ -api_key diff --git a/Makefile b/Makefile index e895b4d..bfc6f18 100644 --- a/Makefile +++ b/Makefile @@ -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 diff --git a/R/route_analysis.Rmd b/R/route_analysis.Rmd index 0a1729a..c894b6a 100644 --- a/R/route_analysis.Rmd +++ b/R/route_analysis.Rmd @@ -19,7 +19,6 @@ library(osrm) library(smoothr) library(magick) library(ggnewscale) -library(rsvg) fig.height <- 6 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 ## 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) ## 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 @@ -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.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( @@ -59,7 +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), @@ -90,8 +88,8 @@ 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(walk_boundary_poly, dist = 500), crs = 4326)) @@ -141,7 +139,7 @@ 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"), @@ -188,7 +186,7 @@ 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"), @@ -232,7 +230,7 @@ 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"),