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cycling_route_analysis_brouter.Rmd
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@ -71,16 +71,15 @@ bike_lts_scale <- data.frame(code = c(1, 2, 3, 4, 9),
## Open Source Routing Machine (OSRM) ## Open Source Routing Machine (OSRM)
```{r osrm, eval = TRUE, echo = TRUE, results = "show", warning = FALSE, error = TRUE, message = FALSE} ```{r osrm, eval = TRUE, echo = TRUE, results = "show", warning = FALSE, error = TRUE, message = FALSE}
# Set url and profile of OSRM server
options(osrm.server = "http://127.0.0.1:5001/") options(osrm.server = "http://127.0.0.1:5001/")
options(osrm.profile = "bike") options(osrm.profile = "bike")
``` ```
## Brouter options ## Brouter options
```{r brouter, eval = TRUE, echo = TRUE, results = "show", warning = FALSE, error = TRUE, message = FALSE} ```{r brouter, eval = TRUE, echo = TRUE, results = "show", warning = FALSE, error = TRUE, message = FALSE}
# Set url and profile of brouter server # Prepare the URL query
brouter_url <- "http://127.0.0.1:17777/brouter" url <- "http://127.0.0.1:17777/brouter"
brouter_profile <- "trekking" profile <- "trekking" # choose appropriate profile
``` ```
## Stadia Maps API Key ## Stadia Maps API Key
@ -137,18 +136,16 @@ routes <- list(NULL)
school_focus_location <- WI_schools %>% filter(NCES_CODE %in% school_focus$NCES_CODE) %>% select(LAT, LON) school_focus_location <- WI_schools %>% filter(NCES_CODE %in% school_focus$NCES_CODE) %>% select(LAT, LON)
for(i in addresses_near %>% arrange(number) %>% pull(number)) { for(i in addresses_near %>% arrange(number) %>% pull(number)) {
query <- paste0( query <- paste0(
brouter_url, url,
"?lonlats=", "?lonlats=",
(addresses_near %>% filter(number == i) %>% pull(point) %>% str_split(., ","))[[1]][1], ",", (addresses_near %>% filter(number == i) %>% pull(point) %>% str_split(., ","))[[1]][1], ",",
(addresses_near %>% filter(number == i) %>% pull(point) %>% str_split(., ","))[[1]][2], "|", (addresses_near %>% filter(number == i) %>% pull(point) %>% str_split(., ","))[[1]][2], "|",
school_focus_location$LON, ",", school_focus_location$LAT, school_focus_location$LON, ",", school_focus_location$LAT,
"&profile=", brouter_profile, "&profile=", profile,
"&alternativeidx=0&format=geojson" "&alternativeidx=0&format=geojson"
) )
response <- GET(query) response <- GET(query)
route_run <- st_read(content <- content(response, as = "text"), quiet = TRUE) routes[[i]] <- st_read(content <- content(response, as = "text"), quiet = TRUE)
route_run[["student_number"]] <- i
routes[[i]] <- route_run
message(paste0("done - ", i, " of ", max(addresses_near$number))) message(paste0("done - ", i, " of ", max(addresses_near$number)))