edited muni maps
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@ -117,12 +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 <- "Dane"
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county_focus <- "Rock"
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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("Evansville")
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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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#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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@ -150,7 +150,7 @@ for(municipality in municipality_focus) {
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ggmap(basemap) +
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labs(title = paste0(
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# "Crashes between cars and youth (<18) pedestrians/bicyclists near ",
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"Crashes between cars and all pedestrians/bicyclists in/near ",
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"Crashes between cars and pedestrians & bicyclists in ",
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municipality),
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subtitle = paste0(min(year(TOPS_data$date), na.rm = TRUE),
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" - ",
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@ -188,7 +188,7 @@ for(municipality in municipality_focus) {
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fill = ped_inj_name),
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shape = 23,
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size = 3) +
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scale_fill_manual(values = injury_severity$color, name = "Crash Severity") +
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scale_fill_manual(values = setNames(injury_severity$color, injury_severity$InjSevName), name = "Crash Severity") +
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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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@ -199,7 +199,7 @@ for(municipality in municipality_focus) {
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ymin = bbox['top'] - (bbox['top']-bbox['bottom']) * 0.16,
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ymax = bbox['top'],
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xmin = bbox['right'] + (bbox['right']-bbox['left']) * 0.05,
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xmax = bbox['right'] + (bbox['right']-bbox['left']) * 0.20) +
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xmax = bbox['right'] + (bbox['right']-bbox['left']) * 0.15) +
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coord_sf(clip = "off")
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ggsave(file = paste0("figures/municipalities/",
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