adjusted directories to allow me to work line by line in RStudio
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@ -25,7 +25,7 @@ set.seed(1)
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# Main R script
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# Main R script
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```{r Rscript, eval = FALSE, echo = TRUE, results = "show", warning = FALSE, error = FALSE, message = FALSE}
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```{r Rscript, eval = TRUE, echo = TRUE, results = "show", warning = FALSE, error = TRUE, message = FALSE}
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## school focus
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## school focus
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school_focus <- data.frame(name = c("East High School"), NCES_CODE = c("550852000925"))
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school_focus <- data.frame(name = c("East High School"), NCES_CODE = c("550852000925"))
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@ -33,10 +33,10 @@ 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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@ -44,7 +44,7 @@ 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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@ -56,7 +56,7 @@ 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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@ -85,8 +85,8 @@ 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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@ -136,7 +136,7 @@ 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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@ -150,7 +150,7 @@ ggsave(file = paste0("figures/",
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ggmap(basemap) +
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ggmap(basemap) +
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labs(title = paste0("Walking routes for students at ",
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labs(title = paste0("Walking routes for students at ",
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school_focus %>% pull(name)),
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school_focus %>% pull(name)),
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subtitle = "only showing routes within the 1.5 walk boundary",
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subtitle = "only showing routes within the walk boundary",
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x = NULL,
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x = NULL,
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y = NULL,
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y = NULL,
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color = NULL,
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color = NULL,
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@ -183,7 +183,7 @@ 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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@ -227,7 +227,7 @@ 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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