Moved route_to_school.Rmd to archive
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archive/route_to_school.Rmd
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archive/route_to_school.Rmd
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---
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title: "East High Cycling Routes"
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output:
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html_document:
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toc: true
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toc_depth: 5
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toc_float:
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collapsed: false
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smooth_scroll: true
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editor_options:
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chunk_output_type: console
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---
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# Input Data & Configuration
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## Libraries
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```{r libs, eval = TRUE, echo = FALSE, results = "show", warning = FALSE, error = TRUE, message = FALSE}
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date()
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rm(list=ls())
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library(tidyverse)
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library(ggmap)
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library(sf)
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library(osrm)
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library(smoothr)
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library(magick)
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library(ggnewscale)
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library(rsvg)
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library(httr)
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library(jsonlite)
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library(parallel)
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fig.height <- 6
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set.seed(1)
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source("./R/functions.R")
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```
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# External sources configurations
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## Open Source Routing Machine (OSRM)
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```{r osrm, eval = TRUE, echo = TRUE, results = "show", warning = FALSE, error = TRUE, message = FALSE}
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options(osrm.server = "http://127.0.0.1:5001/")
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options(osrm.profile = "bike")
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```
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## Brouter options
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```{r brouter, eval = TRUE, echo = TRUE, results = "show", warning = FALSE, error = TRUE, message = FALSE}
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brouter_url <- "http://127.0.0.1:17777/brouter"
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brouter_profile <- "safety"
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```
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## Stadia Maps API Key
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```{r stadiamaps, eval = TRUE, echo = TRUE, results = "show", warning = FALSE, error = TRUE, message = FALSE}
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register_stadiamaps(key = substr(read_file(file = "api_keys/stadia_api_key"), 1, 36))
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```
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# Analysis
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## Create Bikeable Region Using OSRM
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```{r boundary, eval = TRUE, echo = TRUE, results = "show", warning = TRUE, error = TRUE, message = TRUE}
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WI_schools <- st_transform(st_read(dsn = "data/Schools/Wisconsin_Public_Schools_-5986231931870160084.gpkg"), crs = 4326)
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WI_schools <- WI_schools %>% mutate(geom = SHAPE)
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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("IMAP"), NCES_CODE = c("550008203085"))
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school_location <- WI_schools %>% filter(NCES_CODE %in% school_focus$NCES_CODE)
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radius <- 4 # miles
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levels <- c(1)
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res <- 100
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threshold <- units::set_units(1, km^2)
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cycle_boundary_m <- radius*1609
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cycle_boundary_poly <- osrmIsodistance( loc = school_location, breaks = cycle_boundary_m, res = res )
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cycle_boundary_poly <- st_make_valid(cycle_boundary_poly)
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cycle_boundary_poly <- fill_holes(cycle_boundary_poly, threshold)
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cycle_boundary_poly <- st_transform(cycle_boundary_poly, crs = 4326)
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saveRDS(cycle_boundary_poly, "./R/data/cycle_boundary_poly.rds")
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```
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# Create Grid Over Bikeable Region
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```{r grid, eval = TRUE, echo = TRUE, results = "show", warning = TRUE, error = TRUE, message = TRUE}
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cellsize <- 5e-3
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grid <- st_make_grid(cycle_boundary_poly, cellsize = cellsize, what = "polygons", square = FALSE)
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grid <- st_intersection(cycle_boundary_poly, grid)
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```
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# Compute Routes from Cell Centroids to School with brouter
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```{r routes, eval = TRUE, echo = TRUE, results = "show", warning = TRUE, error = TRUE, message = TRUE}
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grid_pts <- st_centroid(grid)
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grid_coods <- st_coordinates(grid_pts)
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school_focus_location <- WI_schools %>% filter(NCES_CODE %in% school_focus$NCES_CODE) %>% select(LAT, LON)
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routes <- list(NULL)
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for(i in 1:nrow(grid_coods) ) {
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query <- paste0(
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brouter_url,
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"?lonlats=", grid_coods[i,1], ",",grid_coods[i,2], "|",
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school_focus_location$LON, ",", school_focus_location$LAT,
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"&profile=", brouter_profile,
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"&alternativeidx=0&format=geojson"
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)
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response <- GET(query)
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route_run <- st_read(content <- content(response, as = "text"), quiet = TRUE)
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route_run[["student_number"]] <- i
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routes[[i]] <- route_run
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}
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routes <- st_transform(bind_rows(routes), crs = 4326)
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```
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Notes:
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- What does `st_transform(bind_rows(routes), crs = 4326)` do?
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# Generate Map for Total Time
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## Set boundaries and get basemap
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```{r basemap, eval = TRUE, echo = TRUE, results = "show", warning = FALSE, error = TRUE, message = FALSE}
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bbox <- st_bbox(st_buffer(cycle_boundary_poly, dist = 500))
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bbox <- c(left = as.double(bbox[1]),
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bottom = as.double(bbox[2]),
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right = as.double(bbox[3]),
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top = as.double(bbox[4]))
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zoom.level <- 12
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basemap <- get_stadiamap(bbox = bbox, zoom = zoom.level, maptype = "stamen_toner_lite")
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```
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## Total Trip Time Map
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```{r sandbox3, eval = TRUE, echo = TRUE, results = "show", warning = TRUE, error = TRUE, message = TRUE}
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track.length.vec <- routes %>% pull(track.length)
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grid <- cbind(grid, track.length = as.numeric(track.length.vec)/1609)
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total.time.vec <- routes %>% pull(total.time)
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grid <- cbind(grid, total.time = as.numeric(total.time.vec))
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total.energy.vec <- routes %>% pull(total.energy)
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grid <- cbind(grid, total.energy = as.numeric(total.energy.vec))
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gg1 <- ggmap(basemap) + geom_sf(data = subset(grid, track.length > 1), aes(fill = total.time), inherit.aes = FALSE)
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ggsave(gg1, filename = "./figures/route-characteristics.pdf", width = 11, height = 8, units = "in")
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gg1
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```
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## Routes Map
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```{r sandbox3b, eval = TRUE, echo = TRUE, results = "show", warning = TRUE, error = TRUE, message = TRUE}
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gg2 <- ggmap(basemap) + geom_sf(data = routes, aes(color = "red"), inherit.aes = FALSE)
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ggsave(gg2, filename = "./figures/routes.pdf", width = 11, height = 8, units = "in")
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gg2
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```
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# Route Characteristics
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## Compute Percent of Trip on Cycleway
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```{r sandbox4, eval = TRUE, echo = TRUE, results = "show", warning = TRUE, error = TRUE, message = TRUE}
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x.vec <- c()
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for(j in 1:nrow(routes)){
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foobar <- routeChar(routes[j, "messages"])
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x.vec <- c(x.vec, foobar)
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}
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grid <- cbind(grid, T.cycleway = x.vec)
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grid <- cbind( grid, not.cycleway = (grid$total.time - grid$T.cycleway)/60)
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gg3 <- ggmap(basemap) + geom_sf(data = grid, aes(fill= not.cycleway), inherit.aes = FALSE) + scale_fill_gradient(low = "yellow", high = "red", limits = c(0,17), na.value = NA)
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ggsave(gg3, filename = "./figures/cycleway.pdf", width = 11, height = 8, units = "in")
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gg3
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```
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# Archive
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```{r chunklast, eval = TRUE, echo = TRUE, results = "show", warning = TRUE, error = TRUE, message = TRUE}
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date()
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sessionInfo()
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```
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