From f8cf08ef8b3a9d442fda96beb49a1c124abd53a0 Mon Sep 17 00:00:00 2001 From: Ben Varick Date: Tue, 29 Oct 2024 16:18:08 -0500 Subject: [PATCH] adjusted directories to allow me to work line by line in RStudio --- R/route_analysis.Rmd | 22 +++++++++++----------- 1 file changed, 11 insertions(+), 11 deletions(-) diff --git a/R/route_analysis.Rmd b/R/route_analysis.Rmd index 8a4d3b1..b920db1 100644 --- a/R/route_analysis.Rmd +++ b/R/route_analysis.Rmd @@ -25,7 +25,7 @@ set.seed(1) # Main R script -```{r Rscript, eval = FALSE, echo = TRUE, results = "show", warning = FALSE, error = FALSE, message = FALSE} +```{r Rscript, eval = TRUE, echo = TRUE, results = "show", warning = FALSE, error = TRUE, message = FALSE} ## school focus school_focus <- data.frame(name = c("East High School"), NCES_CODE = c("550852000925")) @@ -33,10 +33,10 @@ 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 @@ -44,7 +44,7 @@ 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( @@ -56,7 +56,7 @@ 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), @@ -85,8 +85,8 @@ 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)) @@ -136,7 +136,7 @@ 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"), @@ -150,7 +150,7 @@ ggsave(file = paste0("figures/", ggmap(basemap) + labs(title = paste0("Walking routes for students at ", school_focus %>% pull(name)), - subtitle = "only showing routes within the 1.5 walk boundary", + subtitle = "only showing routes within the walk boundary", x = NULL, y = NULL, color = NULL, @@ -183,7 +183,7 @@ 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"), @@ -227,7 +227,7 @@ 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"),