edited municipality maps, played around with census tract data
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2 changed files with 39 additions and 5 deletions
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@ -117,10 +117,12 @@ school_symbol <- image_read_svg(path = "other/school_FILL0_wght400_GRAD0_opsz24.
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#county_focus <- str_to_upper(unique(WI_schools %>% pull(CTY_DIST)))
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#county_focus <- c("DANE")
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county_focus <- c("DANE")
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county_focus <- "Dane"
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municipality_focus <- c("Monona", "Verona", "Fitchburg")
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municipality_geom <- st_read("data/WI_Cities,_Towns_and_Villages_January_2024.geojson")
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#municipality_focus <- c("Mcfarland")
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#municipality_focus <- c("Monona", "Fitchburg")
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municipality_focus <- municipality_geom %>% filter(CNTY_NAME == county_focus) %>% pull(MCD_NAME)
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for(municipality in municipality_focus) {
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@ -131,8 +133,10 @@ for(municipality in municipality_focus) {
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readRDS(file_drawer("index.rds"))
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file_drawer("index.rds")
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municipality_filtered <- municipality_geom %>% filter(CNTY_NAME == county_focus, MCD_NAME == municipality) %>% pull(geometry)
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# create bounding box from school, 5km away.
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bbox_poly <- st_transform(st_buffer(municipality_geom %>% filter(MCD_NAME == municipality) %>% pull(geometry), 1000), crs = 4326)
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bbox_poly <- st_transform(st_buffer(municipality_filtered, 1000), crs = 4326)
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bbox <- st_bbox(bbox_poly)
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bbox <- c(left = as.double(bbox[1]),
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bottom = as.double(bbox[2]),
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@ -185,7 +189,7 @@ for(municipality in municipality_focus) {
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shape = 23,
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size = 3) +
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scale_fill_manual(values = injury_severity$color, name = "Crash Severity") +
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geom_sf(data = municipality_geom %>% filter(MCD_NAME == municipality),
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geom_sf(data = municipality_filtered,
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inherit.aes = FALSE,
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color = 'black',
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fill = NA,
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