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96cdcbc5ec
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9e1ba33097
15
.gitignore
vendored
15
.gitignore
vendored
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.Rproj*
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.Rproj*
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data/addresses/*
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data/addresses/*
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api_keys/*
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api_keys/*
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figures/*
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figures/*
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.Rhistory
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.Rhistory
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.Rproj.user
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.Rproj.user
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*.md
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.DS_Store
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!README.md
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.Rhistory
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*\.\#*
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data
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!data/
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.RData
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data-bkup/
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data-bkup
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*.R
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*.bak
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archive/
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15
Makefile
15
Makefile
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route_analysis: R/route_analysis.Rmd
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R -e 'library("rmarkdown"); old_path <- Sys.getenv("PATH"); Sys.setenv(PATH = paste(old_path, "/usr/local/bin", sep = ":")); rmarkdown::render(knit_root_dir = "./", output_dir = "./html", input = "./R/route_analysis.Rmd", output_file = "./html/route_analysis.html")'
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clean: clean-data clean-figure clean-script
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clean-data:
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rm -vf ./R/data/*.rds
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clean-script:
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rm -rvf ./*.md
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clean-figure:
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rm -rvf ./figure/
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.PHONY: data
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@ -15,7 +15,3 @@ This script will generate a few figures:
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### A map of those routes colored by the level of traffic stress to bike
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### A map of those routes colored by the level of traffic stress to bike
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## Using make
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The command `make route_analysis` will run *route_analysis.Rmd* which
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is an R markdown file containing the original R script *route_analysis.R*
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4
html/.gitignore
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4
html/.gitignore
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# Ignore everything in this directory
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*
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# Except this file
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!.gitignore
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@ -1,17 +1,3 @@
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---
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title: "Route Analysis"
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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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---
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```{r libs, eval = TRUE, echo = TRUE, 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(tidyverse)
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library(ggmap)
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library(ggmap)
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library(sf)
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library(sf)
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@ -19,13 +5,8 @@ library(osrm)
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library(smoothr)
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library(smoothr)
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library(magick)
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library(magick)
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library(ggnewscale)
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library(ggnewscale)
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fig.height <- 6
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set.seed(1)
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```
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# Main R script
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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 +14,10 @@ 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 +25,7 @@ addresses <- read_csv(file="../data/addresses/Addresses_Students_EastHS_2024_Geo
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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 +37,7 @@ 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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@ -77,7 +58,7 @@ for(i in addresses_near$number) {
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routes <- bind_rows(routes)
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routes <- bind_rows(routes)
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## combine routes
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## combine routes
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bike_lts_buffer <- st_buffer(st_intersection(bike_lts, walk_boundary_poly), 20)
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bike_lts_buffer <- st_buffer(st_intersection(bike_lts, walk_boundary_poly), 10)
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bike_lts_buffer["student_use"] <- unlist(lapply(st_intersects(bike_lts_buffer, routes), length))
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bike_lts_buffer["student_use"] <- unlist(lapply(st_intersects(bike_lts_buffer, routes), length))
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@ -85,8 +66,8 @@ 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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@ -106,7 +87,7 @@ ggmap(basemap) +
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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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linewidth = "Potential student walkers") +
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linewidth = "How many students can use road") +
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theme(axis.text=element_blank(),
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theme(axis.text=element_blank(),
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axis.ticks=element_blank(),
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axis.ticks=element_blank(),
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plot.caption = element_text(color = "grey")) +
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plot.caption = element_text(color = "grey")) +
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@ -136,7 +117,7 @@ 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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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 walk boundary",
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subtitle = "only showing routes within the 1.5 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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linewidth = "Potential student walkers") +
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linewidth = "How many students can use road") +
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theme(axis.text=element_blank(),
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theme(axis.text=element_blank(),
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axis.ticks=element_blank(),
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axis.ticks=element_blank(),
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plot.caption = element_text(color = "grey")) +
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plot.caption = element_text(color = "grey")) +
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@ -183,7 +164,7 @@ 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 +208,7 @@ 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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@ -236,13 +217,3 @@ ggsave(file = paste0("../figures/",
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width = 11,
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width = 11,
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units = "in",
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units = "in",
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create.dir = TRUE)
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create.dir = TRUE)
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```
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# Appendix
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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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