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compare: ben:8748e0fa699caf9e10de861a016d5c1e524eed1c
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07f4d38bd2 ... 8748e0fa69

2 changed files with 17 additions and 24 deletions
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.gitignore vendored
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@ -19,4 +19,3 @@ data-bkup
archive/
trash/
api_key
R/route_analysis.html

40
R/route_analysis.Rmd
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@ -7,8 +7,6 @@ output:
toc_float:
collapsed: false
smooth_scroll: true
editor_options:
chunk_output_type: console
---
```{r libs, eval = TRUE, echo = TRUE, results = "show", warning = FALSE, error = TRUE, message = FALSE}
@ -53,7 +51,7 @@ register_stadiamaps(key = substr(read_file(file = "api_keys/stadia_api_key"), 1,
## subset addresses within 1.5 miles
walk_boundary_poly <- fill_holes(st_make_valid(osrmIsodistance(
loc = WI_schools %>% filter(NCES_CODE %in% school_focus$NCES_CODE),
loc = st_transform(WI_schools %>% filter(NCES_CODE %in% school_focus$NCES_CODE), crs = 4326),
breaks = c(walk_boundary_m),
res = 80)
), units::set_units(1, km^2))
@ -62,12 +60,8 @@ addresses_near <- st_intersection(addresses, walk_boundary_poly)
## load bike tls
bike_lts <- st_read("data/bike_lts/bike_lts_DANE.geojson")
# make lts attribute a factor
bike_lts[["lts"]] <- as.factor(bike_lts$LTS_F)
# remove segments with an LTS value of 9
bike_lts <- bike_lts %>% filter(lts != 9)
# set color scale
bike_lts_scale <- data.frame(code = c(1, 2, 3, 4, 9),
color = c("#1a9641",
"#a6d96a",
@ -100,7 +94,7 @@ logo <- image_read(path = "other/BFW_Logo_180_x_200_transparent_background.png")
school_symbol <- image_read_svg(path = "other/school_FILL0_wght400_GRAD0_opsz24.svg")
bbox <- st_bbox(st_buffer(walk_boundary_poly, dist = 500))
bbox <- st_bbox(st_transform(st_buffer(walk_boundary_poly, dist = 500), crs = 4326))
bbox <- c(left = as.double(bbox[1]),
bottom = as.double(bbox[2]),
right = as.double(bbox[3]),
@ -136,11 +130,11 @@ ggmap(basemap) +
scale_linewidth_continuous(range = c(0, 3)) +
annotation_raster(school_symbol,
# Position adjustments here using plot_box$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$NCES_CODE),
ymin = as.double((st_transform(WI_schools %>% filter(NCES_CODE %in% school_focus$NCES_CODE), crs = 4326) %>% pull(geom))[[1]])[2] - 0.001,
ymax = as.double((st_transform(WI_schools %>% filter(NCES_CODE %in% school_focus$NCES_CODE), crs = 4326) %>% pull(geom))[[1]])[2] + 0.001,
xmin = as.double((st_transform(WI_schools %>% filter(NCES_CODE %in% school_focus$NCES_CODE), crs = 4326) %>% pull(geom))[[1]])[1] - 0.0015,
xmax = as.double((st_transform(WI_schools %>% filter(NCES_CODE %in% school_focus$NCES_CODE), crs = 4326) %>% pull(geom))[[1]])[1] + 0.0015) +
geom_sf_label(data = st_transform(WI_schools %>% filter(NCES_CODE %in% school_focus$NCES_CODE), crs = 4326),
inherit.aes = FALSE,
mapping = aes(label = school_focus %>% pull(name)),
nudge_y = 0.0015,
@ -184,11 +178,11 @@ ggmap(basemap) +
scale_linewidth_continuous(range = c(0, 3)) +
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),
ymin = as.double((st_transform(WI_schools %>% filter(NCES_CODE %in% school_focus$NCES_CODE), crs = 4326) %>% pull(geom))[[1]])[2] - 0.001,
ymax = as.double((st_transform(WI_schools %>% filter(NCES_CODE %in% school_focus$NCES_CODE), crs = 4326) %>% pull(geom))[[1]])[2] + 0.001,
xmin = as.double((st_transform(WI_schools %>% filter(NCES_CODE %in% school_focus$NCES_CODE), crs = 4326) %>% pull(geom))[[1]])[1] - 0.0015,
xmax = as.double((st_transform(WI_schools %>% filter(NCES_CODE %in% school_focus$NCES_CODE), crs = 4326) %>% pull(geom))[[1]])[1] + 0.0015) +
geom_sf_label(data = st_transform(WI_schools %>% filter(NCES_CODE %in% school_focus$NCES_CODE), crs = 4326),
inherit.aes = FALSE,
mapping = aes(label = school_focus %>% pull(name)),
nudge_y = 0.0015,
@ -228,11 +222,11 @@ ggmap(basemap) +
new_scale_color() +
annotation_raster(school_symbol,
# Position adjustments here using plot_box$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$NCES_CODE),
ymin = as.double((st_transform(WI_schools %>% filter(NCES_CODE %in% school_focus$NCES_CODE), crs = 4326) %>% pull(geom))[[1]])[2] - 0.001,
ymax = as.double((st_transform(WI_schools %>% filter(NCES_CODE %in% school_focus$NCES_CODE), crs = 4326) %>% pull(geom))[[1]])[2] + 0.001,
xmin = as.double((st_transform(WI_schools %>% filter(NCES_CODE %in% school_focus$NCES_CODE), crs = 4326) %>% pull(geom))[[1]])[1] - 0.0015,
xmax = as.double((st_transform(WI_schools %>% filter(NCES_CODE %in% school_focus$NCES_CODE), crs = 4326) %>% pull(geom))[[1]])[1] + 0.0015) +
geom_sf_label(data = st_transform(WI_schools %>% filter(NCES_CODE %in% school_focus$NCES_CODE), crs = 4326),
inherit.aes = FALSE,
mapping = aes(label = school_focus %>% pull(name)),
nudge_y = 0.0015,