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@ -20,4 +20,3 @@ archive/
trash/ trash/
api_key api_key
R/route_analysis.html R/route_analysis.html
log/

25
R/route_analysis.Rmd
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@ -7,7 +7,7 @@ output:
toc_float: toc_float:
collapsed: false collapsed: false
smooth_scroll: true smooth_scroll: true
editor_options: editor_options:
chunk_output_type: console chunk_output_type: console
--- ---
@ -35,7 +35,6 @@ set.seed(1)
```{r gpkg, eval = TRUE, echo = TRUE, results = "show", warning = FALSE, error = TRUE, message = FALSE} ```{r gpkg, eval = TRUE, echo = TRUE, results = "show", warning = FALSE, error = TRUE, message = FALSE}
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) WI_schools <- WI_schools %>% mutate(geom = SHAPE)
# names(WI_schools)
``` ```
## Addresses Data ## Addresses Data
@ -43,9 +42,8 @@ WI_schools <- WI_schools %>% mutate(geom = SHAPE)
```{r addresses, eval = TRUE, echo = TRUE, results = "show", warning = FALSE, error = TRUE, message = FALSE} ```{r addresses, eval = TRUE, echo = TRUE, results = "show", warning = FALSE, error = TRUE, message = FALSE}
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) %>% filter(lat > 0) %>%
st_as_sf(coords=c("lon","lat"), crs=4326) st_as_sf(coords=c("lon","lat"), crs=4326) # remember x=lon and y=lat
``` ```
(Remember that x = lon and y = lat.)
## Bike Level of Traffic Stress (LTS) ## Bike Level of Traffic Stress (LTS)
@ -79,13 +77,14 @@ options(osrm.profile = "walk")
```{r stadiamaps, eval = TRUE, echo = TRUE, results = "show", warning = FALSE, error = TRUE, message = FALSE} ```{r stadiamaps, eval = TRUE, echo = TRUE, results = "show", warning = FALSE, error = TRUE, message = FALSE}
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))
``` ```
# Analysis # Analysis
## Subset Addresses Within 1.5 Miles ## Subset Addresses Within 1.5 Miles
```{r walkBoundary, eval = TRUE, echo = TRUE, results = "show", warning = FALSE, error = TRUE, message = FALSE} ```{r walkBoundary, eval = TRUE, echo = TRUE, results = "show", warning = FALSE, error = TRUE, message = FALSE}
walk_boundary_m <- 1.5*1609 walk_boundary_m <- 1.5 * 1609 ## walk boundary
school_focus <- data.frame(name = c("East High School"), NCES_CODE = c("550852000925")) school_focus <- data.frame(name = c("East High School"), NCES_CODE = c("550852000925")) ## school focus
walk_boundary_poly <- fill_holes(st_make_valid(osrmIsodistance( walk_boundary_poly <- fill_holes(st_make_valid(osrmIsodistance(
loc = WI_schools %>% filter(NCES_CODE %in% school_focus$NCES_CODE), loc = WI_schools %>% filter(NCES_CODE %in% school_focus$NCES_CODE),
@ -96,19 +95,18 @@ walk_boundary_poly <- fill_holes(st_make_valid(osrmIsodistance(
addresses_near <- st_intersection(addresses, walk_boundary_poly) addresses_near <- st_intersection(addresses, walk_boundary_poly)
``` ```
## Calculate Routes ## Calculate walking routes for each student
```{r routes, eval = TRUE, echo = TRUE, results = "show", warning = FALSE, error = TRUE, message = FALSE} ```{r routes, eval = TRUE, echo = TRUE, results = "show", warning = FALSE, error = TRUE, message = FALSE}
routes <- list(NULL)
## calculate routes
routes <- list(NULL)
for(i in addresses_near$number) { for(i in addresses_near$number) {
routes[[i]] <- osrmRoute( routes[[i]] <- osrmRoute(
src = addresses_near %>% filter(number == i), src = addresses_near %>% filter(number == i),
dst = WI_schools %>% filter(NCES_CODE %in% school_focus$NCES_CODE)) dst = WI_schools %>% filter(NCES_CODE %in% school_focus$NCES_CODE))
message(paste0("done - ", i, "of", max(addresses_near$number))) message(paste0("done - ", i, "of", max(addresses_near$number)))
} }
routes <- bind_rows(routes) routes <- bind_rows(routes)
``` ```
@ -125,8 +123,7 @@ bike_lts_buffer["student_use"] <- unlist(lapply(st_intersects(bike_lts_buffer, r
bike_lts <- st_join(bike_lts, bike_lts_buffer %>% select(OBJECTID, student_use)) bike_lts <- st_join(bike_lts, bike_lts_buffer %>% select(OBJECTID, student_use))
``` ```
# Make Maps # Generate Maps
## Load school and Bike Fed logo ## Load school and Bike Fed logo
```{r logos, eval = TRUE, echo = TRUE, results = "show", warning = FALSE, error = TRUE, message = FALSE} ```{r logos, eval = TRUE, echo = TRUE, results = "show", warning = FALSE, error = TRUE, message = FALSE}
@ -286,7 +283,6 @@ ggmap(basemap) +
nudge_y = 0.0015, nudge_y = 0.0015,
label.size = 0.04, label.size = 0.04,
size = 2) size = 2)
ggsave(file = paste0("figures/", ggsave(file = paste0("figures/",
school_focus %>% pull(name), school_focus %>% pull(name),
" Routes - Traffic Stress.pdf"), " Routes - Traffic Stress.pdf"),
@ -297,6 +293,9 @@ ggsave(file = paste0("figures/",
units = "in", units = "in",
create.dir = TRUE) create.dir = TRUE)
``` ```
# Appendix # Appendix