ben/wisconsin_crashes
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made NAs prettier in crash location popup

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This commit is contained in:
Ben Varick 2024-04-08 11:08:41 -05:00
parent ae3a65438e
commit 71db97a5a0
Signed by: ben
SSH Key Fingerprint: SHA256:758jG979jvr5HnQJl1AQ/NYTyzXRgnuoVM/yCR024sE
2 changed files with 18 additions and 14 deletions
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6
figures/dynamic_crash_maps/wisconsin_pedestrian_crash_map.html
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File diff suppressed because one or more lines are too long

26
scripts/dynamic_crash_map.R
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@ -37,10 +37,10 @@ TOPS_data <- TOPS_data %>%
retrieve_date <- max(TOPS_data %>% filter(year %in% max(year(TOPS_data$date), na.rm = TRUE)) %>% pull(retreive_date)) retrieve_date <- max(TOPS_data %>% filter(year %in% max(year(TOPS_data$date), na.rm = TRUE)) %>% pull(retreive_date))
# Injury Severy Index and Color ----- # Injury Severity Index and Color -----
injury_severity <- data.frame(InjSevName = c("No apparent injury", "Possible Injury", "Suspected Minor Injury","Suspected Serious Injury","Fatality"), injury_severity <- data.frame(InjSevName = c("Injury Severity Unknown", "No apparent injury", "Possible Injury", "Suspected Minor Injury","Suspected Serious Injury","Fatality"),
code = c("O", "C", "B", "A", "K"), code = c(NA, "O", "C", "B", "A", "K"),
color = c("#fafa6e", "#edc346", "#d88d2d", "#bd5721", "#9b1c1c")) color = c("grey", "#fafa6e", "#edc346", "#d88d2d", "#bd5721", "#9b1c1c"))
injury_severity_pal <- colorFactor(palette = injury_severity$color, levels = injury_severity$InjSevName) injury_severity_pal <- colorFactor(palette = injury_severity$color, levels = injury_severity$InjSevName)
@ -51,9 +51,13 @@ TOPS_data <- left_join(TOPS_data, injury_severity %>% select(InjSevName, code),
mutate(InjSevName = factor(InjSevName, levels = injury_severity$InjSevName)) %>% mutate(InjSevName = factor(InjSevName, levels = injury_severity$InjSevName)) %>%
rename(InjSevName2 = InjSevName) rename(InjSevName2 = InjSevName)
TOPS_data <- TOPS_data %>% mutate(ped_inj = ifelse(ROLE1 %in% c("BIKE", "PED"), bike_roles <- c("BIKE", "O BIKE")
ped_roles <- c("PED", "O PED", "PED NO")
vuln_roles <- c(bike_roles, ped_roles)
TOPS_data <- TOPS_data %>% mutate(ped_inj = ifelse(ROLE1 %in% vuln_roles,
INJSVR1, INJSVR1,
ifelse(ROLE2 %in% c("BIKE", "PED"), ifelse(ROLE2 %in% vuln_roles,
INJSVR2, INJSVR2,
NA))) NA)))
@ -62,9 +66,9 @@ TOPS_data <- left_join(TOPS_data, injury_severity %>% select(InjSevName, code),
rename(ped_inj_name = InjSevName) rename(ped_inj_name = InjSevName)
# bike or ped # bike or ped
TOPS_data <- TOPS_data %>% mutate(vulnerable_role = ifelse(ROLE1 %in% "BIKE" | ROLE2 %in% "BIKE", TOPS_data <- TOPS_data %>% mutate(vulnerable_role = ifelse(ROLE1 %in% bike_roles | ROLE2 %in% bike_roles,
"Bicyclist", "Bicyclist",
ifelse(ROLE1 %in% "PED" | ROLE2 %in% "PED", ifelse(ROLE1 %in% ped_roles | ROLE2 %in% ped_roles,
"Pedestrian", "Pedestrian",
NA))) NA)))
@ -84,7 +88,7 @@ TOPS_data <- TOPS_data %>%
County = CNTYNAME, County = CNTYNAME,
Street = ONSTR, Street = ONSTR,
CrossStreet = ATSTR) %>% CrossStreet = ATSTR) %>%
mutate(PedestrianAge = ifelse(ROLE1 %in% c("BIKE", "PED"), age1, age2)) mutate(PedestrianAge = ifelse(ROLE1 %in% vuln_roles, age1, age2))
TOPS_geom <- st_as_sf(TOPS_data %>% filter(!is.na(latitude)), coords = c("longitude", "latitude"), crs = 4326) TOPS_geom <- st_as_sf(TOPS_data %>% filter(!is.na(latitude)), coords = c("longitude", "latitude"), crs = 4326)
@ -197,10 +201,10 @@ wisconsin_crash_map <-
color = "black", color = "black",
weight = 1, weight = 1,
fillOpacity = 0.8, fillOpacity = 0.8,
label = lapply(paste0("<b>", str_to_title(Pedestrian_Crash_Data$vulnerable_role)," </b><br>", label = lapply(paste0("<b>", str_to_title(replace_na(Pedestrian_Crash_Data$vulnerable_role, ""))," </b><br>",
Pedestrian_Crash_Data$CrashDate, "</br>", Pedestrian_Crash_Data$CrashDate, "</br>",
Pedestrian_Crash_Data$PedestrianInjurySeverity, "</br>", Pedestrian_Crash_Data$PedestrianInjurySeverity, "</br>",
Pedestrian_Crash_Data$vulnerable_role, " age: ", Pedestrian_Crash_Data$PedestrianAge), htmltools::HTML), replace_na(Pedestrian_Crash_Data$vulnerable_role, ""), " age: ", ifelse(!is.na(Pedestrian_Crash_Data$PedestrianAge), Pedestrian_Crash_Data$PedestrianAge, "unknown age")), htmltools::HTML),
group = "Crash Points") %>% group = "Crash Points") %>%
addLegend(position = "bottomleft", labels = injury_severity$InjSevName, colors = injury_severity$color, group = "Crash Points", title = "Injury Severity") %>% addLegend(position = "bottomleft", labels = injury_severity$InjSevName, colors = injury_severity$color, group = "Crash Points", title = "Injury Severity") %>%
# addCircleMarkers(data = County_Crash_geom, # addCircleMarkers(data = County_Crash_geom,