Compare commits
No commits in common. "626d69667e415dfb781f6eab0b2e651805244019" and "c721c58a9a7daca76d7769b6af20ed46b303280e" have entirely different histories.
626d69667e
...
c721c58a9a
@ -30,7 +30,7 @@ fig.height <- 6
|
||||
set.seed(1)
|
||||
```
|
||||
|
||||
## School Location Data
|
||||
## GeoPackage Data
|
||||
|
||||
```{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)
|
||||
@ -45,26 +45,6 @@ addresses <- read_csv(file="data/addresses/Addresses_Students_EastHS_2024_Geocod
|
||||
st_as_sf(coords=c("lon","lat"), crs=4326) # remember x=lon and y=lat
|
||||
```
|
||||
|
||||
## Bike Level of Traffic Stress (LTS)
|
||||
|
||||
```{r bikelts, eval = TRUE, echo = TRUE, results = "show", warning = FALSE, error = TRUE, message = FALSE}
|
||||
bike_lts <- st_read("data/bike_lts/bike_lts_DANE.geojson")
|
||||
# make lts attribute a factor
|
||||
bike_lts[["lts"]] <- as.factor(bike_lts$LTS_F)
|
||||
# remove segments with an LTS value of 9
|
||||
bike_lts <- bike_lts %>% filter(lts != 9)
|
||||
|
||||
# set color scale
|
||||
bike_lts_scale <- data.frame(code = c(1, 2, 3, 4, 9),
|
||||
color = c("#1a9641",
|
||||
"#a6d96a",
|
||||
"#fdae61",
|
||||
"#d7191c",
|
||||
"#d7191c"))
|
||||
```
|
||||
|
||||
# External sources configurations
|
||||
|
||||
## Open Source Routing Machine (OSRM)
|
||||
|
||||
```{r osrm, eval = TRUE, echo = TRUE, results = "show", warning = FALSE, error = TRUE, message = FALSE}
|
||||
@ -95,9 +75,27 @@ walk_boundary_poly <- fill_holes(st_make_valid(osrmIsodistance(
|
||||
addresses_near <- st_intersection(addresses, walk_boundary_poly)
|
||||
```
|
||||
|
||||
## Calculate walking routes for each student
|
||||
## Bike Level of Traffic Stress (LTS)
|
||||
|
||||
```{r routes, eval = TRUE, echo = TRUE, results = "show", warning = FALSE, error = TRUE, message = FALSE}
|
||||
```{r bikelts, eval = TRUE, echo = TRUE, results = "show", warning = FALSE, error = TRUE, message = FALSE}
|
||||
bike_lts <- st_read("data/bike_lts/bike_lts_DANE.geojson")
|
||||
# make lts attribute a factor
|
||||
bike_lts[["lts"]] <- as.factor(bike_lts$LTS_F)
|
||||
# remove segments with an LTS value of 9
|
||||
bike_lts <- bike_lts %>% filter(lts != 9)
|
||||
|
||||
# set color scale
|
||||
bike_lts_scale <- data.frame(code = c(1, 2, 3, 4, 9),
|
||||
color = c("#1a9641",
|
||||
"#a6d96a",
|
||||
"#fdae61",
|
||||
"#d7191c",
|
||||
"#d7191c"))
|
||||
```
|
||||
|
||||
## The Rest
|
||||
|
||||
```{r therest, eval = TRUE, echo = TRUE, results = "show", warning = FALSE, error = TRUE, message = FALSE}
|
||||
|
||||
## calculate routes
|
||||
routes <- list(NULL)
|
||||
@ -108,12 +106,8 @@ for(i in addresses_near$number) {
|
||||
message(paste0("done - ", i, "of", max(addresses_near$number)))
|
||||
}
|
||||
routes <- bind_rows(routes)
|
||||
```
|
||||
|
||||
|
||||
## Combine routes with Bike LTS
|
||||
```{r routeslts, eval = TRUE, echo = TRUE, results = "show", warning = FALSE, error = TRUE, message = FALSE}
|
||||
|
||||
## combine routes
|
||||
# Count the routes that intersect or overlap with each segment of the bike_tls network.
|
||||
# The intersections have a buffer of 20m
|
||||
bike_lts_buffer <- st_buffer(st_intersection(bike_lts, walk_boundary_poly), 20)
|
||||
@ -121,19 +115,12 @@ bike_lts_buffer <- st_buffer(st_intersection(bike_lts, walk_boundary_poly), 20)
|
||||
bike_lts_buffer["student_use"] <- unlist(lapply(st_intersects(bike_lts_buffer, routes), length))
|
||||
|
||||
bike_lts <- st_join(bike_lts, bike_lts_buffer %>% select(OBJECTID, student_use))
|
||||
```
|
||||
|
||||
# Generate Maps
|
||||
|
||||
## Load school and Bike Fed logo
|
||||
```{r logos, eval = TRUE, echo = TRUE, results = "show", warning = FALSE, error = TRUE, message = FALSE}
|
||||
## make maps
|
||||
# load logo
|
||||
logo <- image_read(path = "other/BFW_Logo_180_x_200_transparent_background.png")
|
||||
school_symbol <- image_read_svg(path = "other/school_FILL0_wght400_GRAD0_opsz24.svg")
|
||||
```
|
||||
|
||||
## Set boundaries and get basemap
|
||||
```{r basemap, eval = TRUE, echo = TRUE, results = "show", warning = FALSE, error = TRUE, message = FALSE}
|
||||
|
||||
bbox <- st_bbox(st_buffer(walk_boundary_poly, dist = 500))
|
||||
bbox <- c(left = as.double(bbox[1]),
|
||||
@ -143,58 +130,7 @@ bbox <- c(left = as.double(bbox[1]),
|
||||
|
||||
#get basemap
|
||||
basemap <- get_stadiamap(bbox = bbox, zoom = 15, maptype = "stamen_toner_lite")
|
||||
```
|
||||
|
||||
## Generate map of addresses
|
||||
```{r mapaddresses, eval = TRUE, echo = TRUE, results = "show", warning = FALSE, error = TRUE, message = FALSE}
|
||||
|
||||
ggmap(basemap) +
|
||||
labs(title = paste0("Student homes at ",
|
||||
school_focus %>% pull(name)),
|
||||
x = NULL,
|
||||
y = NULL,
|
||||
color = NULL,
|
||||
fill = "How many students live there") +
|
||||
theme(axis.text=element_blank(),
|
||||
axis.ticks=element_blank(),
|
||||
plot.caption = element_text(color = "grey")) +
|
||||
geom_hex(data = addresses %>% extract(geometry, into = c('Lat', 'Lon'), '\\((.*),(.*)\\)', conv = T),
|
||||
aes(x = Lat,
|
||||
y = Lon),
|
||||
alpha = 0.7) +
|
||||
scale_fill_distiller(palette = "YlOrRd", direction = "reverse") +
|
||||
geom_sf(data = walk_boundary_poly,
|
||||
inherit.aes = FALSE,
|
||||
aes(color = paste0(1.5, " mile walking boundary")),
|
||||
fill = NA,
|
||||
linewidth = 1) +
|
||||
scale_color_manual(values = "blue", name = NULL) +
|
||||
new_scale_color() +
|
||||
annotation_raster(school_symbol,
|
||||
# Position adjustments here using plot_box$max/min/range
|
||||
ymin = as.double((WI_schools %>% filter(NCES_CODE %in% school_focus$NCES_CODE) %>% pull(geom))[[1]])[2] - 0.001,
|
||||
ymax = as.double((WI_schools %>% filter(NCES_CODE %in% school_focus$NCES_CODE) %>% pull(geom))[[1]])[2] + 0.001,
|
||||
xmin = as.double((WI_schools %>% filter(NCES_CODE %in% school_focus$NCES_CODE) %>% pull(geom))[[1]])[1] - 0.0015,
|
||||
xmax = as.double((WI_schools %>% filter(NCES_CODE %in% school_focus$NCES_CODE) %>% pull(geom))[[1]])[1] + 0.0015) +
|
||||
geom_sf_label(data = WI_schools %>% filter(NCES_CODE %in% school_focus$NCES_CODE),
|
||||
inherit.aes = FALSE,
|
||||
mapping = aes(label = school_focus %>% pull(name)),
|
||||
nudge_y = 0.0015,
|
||||
label.size = 0.04,
|
||||
size = 2)
|
||||
ggsave(file = paste0("figures/",
|
||||
school_focus %>% pull(name),
|
||||
" Addresses.pdf"),
|
||||
title = paste0(school_focus %>% pull(name), " Addresses"),
|
||||
device = pdf,
|
||||
height = 8.5,
|
||||
width = 11,
|
||||
units = "in",
|
||||
create.dir = TRUE)
|
||||
```
|
||||
|
||||
## Generate map of routes
|
||||
```{r maproutes, eval = TRUE, echo = TRUE, results = "show", warning = FALSE, error = TRUE, message = FALSE}
|
||||
# generate map
|
||||
ggmap(basemap) +
|
||||
labs(title = paste0("Walking routes for students at ",
|
||||
@ -242,10 +178,7 @@ ggsave(file = paste0("figures/",
|
||||
width = 11,
|
||||
units = "in",
|
||||
create.dir = TRUE)
|
||||
```
|
||||
|
||||
## Generate map of routes with LTS
|
||||
```{r maprouteslts, eval = TRUE, echo = TRUE, results = "show", warning = FALSE, error = TRUE, message = FALSE}
|
||||
# generate map
|
||||
ggmap(basemap) +
|
||||
labs(title = paste0("Walking routes for students at ",
|
||||
@ -293,7 +226,49 @@ ggsave(file = paste0("figures/",
|
||||
units = "in",
|
||||
create.dir = TRUE)
|
||||
|
||||
|
||||
ggmap(basemap) +
|
||||
labs(title = paste0("Student homes at ",
|
||||
school_focus %>% pull(name)),
|
||||
x = NULL,
|
||||
y = NULL,
|
||||
color = NULL,
|
||||
fill = "How many students live there") +
|
||||
theme(axis.text=element_blank(),
|
||||
axis.ticks=element_blank(),
|
||||
plot.caption = element_text(color = "grey")) +
|
||||
geom_hex(data = addresses %>% extract(geometry, into = c('Lat', 'Lon'), '\\((.*),(.*)\\)', conv = T),
|
||||
aes(x = Lat,
|
||||
y = Lon),
|
||||
alpha = 0.7) +
|
||||
scale_fill_distiller(palette = "YlOrRd", direction = "reverse") +
|
||||
geom_sf(data = walk_boundary_poly,
|
||||
inherit.aes = FALSE,
|
||||
aes(color = paste0(1.5, " mile walking boundary")),
|
||||
fill = NA,
|
||||
linewidth = 1) +
|
||||
scale_color_manual(values = "blue", name = NULL) +
|
||||
new_scale_color() +
|
||||
annotation_raster(school_symbol,
|
||||
# Position adjustments here using plot_box$max/min/range
|
||||
ymin = as.double((WI_schools %>% filter(NCES_CODE %in% school_focus$NCES_CODE) %>% pull(geom))[[1]])[2] - 0.001,
|
||||
ymax = as.double((WI_schools %>% filter(NCES_CODE %in% school_focus$NCES_CODE) %>% pull(geom))[[1]])[2] + 0.001,
|
||||
xmin = as.double((WI_schools %>% filter(NCES_CODE %in% school_focus$NCES_CODE) %>% pull(geom))[[1]])[1] - 0.0015,
|
||||
xmax = as.double((WI_schools %>% filter(NCES_CODE %in% school_focus$NCES_CODE) %>% pull(geom))[[1]])[1] + 0.0015) +
|
||||
geom_sf_label(data = WI_schools %>% filter(NCES_CODE %in% school_focus$NCES_CODE),
|
||||
inherit.aes = FALSE,
|
||||
mapping = aes(label = school_focus %>% pull(name)),
|
||||
nudge_y = 0.0015,
|
||||
label.size = 0.04,
|
||||
size = 2)
|
||||
ggsave(file = paste0("figures/",
|
||||
school_focus %>% pull(name),
|
||||
" Addresses.pdf"),
|
||||
title = paste0(school_focus %>% pull(name), " Addresses"),
|
||||
device = pdf,
|
||||
height = 8.5,
|
||||
width = 11,
|
||||
units = "in",
|
||||
create.dir = TRUE)
|
||||
|
||||
|
||||
```
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user