.gitignore

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

R/route_analysis.Rmd

@@ -7,7 +7,7 @@ output:
     toc_float:
       collapsed: false
       smooth_scroll: true
-editor_options:
+editor_options: 
   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}
 WI_schools <- st_transform(st_read(dsn = "data/Schools/Wisconsin_Public_Schools_-5986231931870160084.gpkg"), crs = 4326)
 WI_schools <- WI_schools %>% mutate(geom = SHAPE)
-# names(WI_schools)
 ```
 
 ## 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}
 addresses <- read_csv(file="data/addresses/Addresses_Students_EastHS_2024_GeocodeResults.csv") %>%
   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)
 
@@ -79,13 +77,14 @@ options(osrm.profile = "walk")
 ```{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))
 ```
+
 # Analysis
 
 ## Subset Addresses Within 1.5 Miles
 
 ```{r walkBoundary, eval = TRUE, echo = TRUE, results = "show", warning = FALSE, error = TRUE, message = FALSE}
-walk_boundary_m <- 1.5*1609
-school_focus <- data.frame(name = c("East High School"), NCES_CODE = c("550852000925"))
+walk_boundary_m <- 1.5 * 1609 ## walk boundary
+school_focus <- data.frame(name = c("East High School"), NCES_CODE = c("550852000925")) ## school focus
 
 walk_boundary_poly <- fill_holes(st_make_valid(osrmIsodistance(
   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)
 ```
 
-## Calculate Routes
+## Calculate walking routes for each student
 
 ```{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$number) {
  routes[[i]] <- osrmRoute(
       src = addresses_near %>% filter(number == i),
       dst = WI_schools %>% filter(NCES_CODE %in% school_focus$NCES_CODE))
   message(paste0("done - ", i, "of", max(addresses_near$number)))
 }
-
-
 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))
 ```
 
-# Make Maps
-
+# Generate Maps
 
 ## Load school and Bike Fed logo
 ```{r logos, eval = TRUE, echo = TRUE, results = "show", warning = FALSE, error = TRUE, message = FALSE}
@@ -286,7 +283,6 @@ ggmap(basemap) +
                 nudge_y = 0.0015,
                 label.size = 0.04,
                 size = 2)
-
 ggsave(file = paste0("figures/",
                      school_focus %>% pull(name),
                      " Routes - Traffic Stress.pdf"),
@@ -297,6 +293,9 @@ ggsave(file = paste0("figures/",
        units = "in",
        create.dir = TRUE)
 
+
+
+
 ```
 
 # Appendix