300 lines
14 KiB
Plaintext
300 lines
14 KiB
Plaintext
---
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title: "Dynamic Crash Map"
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output:
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html_document:
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toc: true
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toc_depth: 5
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toc_float:
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collapsed: false
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smooth_scroll: true
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editor_options:
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chunk_output_type: console
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---
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# Input Data & Configuration
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## Libraries
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```{r libs, eval = TRUE, echo = TRUE, results = "show", warning = FALSE, error = TRUE, message = FALSE}
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date()
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rm(list=ls())
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library(tidyverse)
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library(sf)
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library(leaflet)
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library(RColorBrewer)
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library(tidycensus)
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library(htmltools)
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library(magick)
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library(htmlwidgets)
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Sys.setenv(LANG = "en-US.UTF-8")
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```
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## Load TOPS data
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```{r loadTOPS, eval = TRUE, echo = TRUE, results = "show", warning = FALSE, error = TRUE, message = FALSE}
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load(file = "data/TOPS/TOPS_data.Rda")
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load(file = "data/TOPS/vuln_roles.Rda")
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load(file = "data/TOPS/retrieve_date.Rda")
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load(file = "data/TOPS/injury_severity.Rda")
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injury_severity_pal <- colorFactor(palette = injury_severity$color, levels = injury_severity$InjSevName)
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```
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## Mutate TOPS_data
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```{r mutateTOPS, eval = TRUE, echo = TRUE, results = "show", warning = FALSE, error = TRUE, message = FALSE}
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TOPS_data <- TOPS_data %>%
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mutate(Year = year,
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PedestrianInjurySeverity = ped_inj_name,
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CrashDate = CRSHDATE,
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CrashTime = CRSHTIME,
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County = CNTYNAME,
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Street = ONSTR,
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CrossStreet = ATSTR) %>%
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mutate(PedestrianAge = ifelse(ROLE1 %in% vuln_roles, age1, age2))
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TOPS_geom <- st_as_sf(TOPS_data %>% filter(!is.na(latitude)), coords = c("longitude", "latitude"), crs = 4326)
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```
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## load school locations ----
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```{r loadschooldata, eval = TRUE, echo = TRUE, results = "show", warning = FALSE, error = TRUE, message = FALSE}
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WI_schools <- st_read(dsn = "data/Schools/Wisconsin_Public_Schools_-5986231931870160084.gpkg")
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WI_schools <- WI_schools %>%
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filter(is.double(LAT),
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LAT > 0) %>%
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select("SCHOOL", "DISTRICT", "SCHOOLTYPE", "LAT", "LON")
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school_translate <- data.frame(en = c("Elementary School", "High School", "Combined Elementary/Secondary School", "Middle School", "Junior High School"),
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es = c("Escuela primaria", "Escuela secundaria", "Escuela primaria/secundaria combinada", "Escuela secundaria", "Escuela secundaria"))
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WI_schools <- WI_schools %>%
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mutate(SCHOOLTYPE_es <- school_translate$es[match(WI_schools$SCHOOLTYPE, school_translate$en)])
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```
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### Load school symbol
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```{r loadschoolicon, eval = TRUE, echo = TRUE, results = "show", warning = FALSE, error = TRUE, message = FALSE}
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school_symbol <- makeIcon(iconUrl = "icons/school_FILL0_wght400_GRAD0_opsz24.png",
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iconWidth = 24,
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iconHeight = 24,
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iconAnchorX = 12,
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iconAnchorY = 12)
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```
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## Pull certain columns
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```{r pullcolumns, eval = TRUE, echo = TRUE, results = "show", warning = FALSE, error = TRUE, message = FALSE}
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focus_columns <- c("PedestrianInjurySeverity", "CrashDate", "CrashTime", "County", "Street", "CrossStreet", "PedestrianAge", "Year", "vulnerable_role", "vulnerable_role_es")
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Pedestrian_Crash_Data <- TOPS_data %>%
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# filter(CNTYNAME == focus_county) %>%
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select(c(all_of(focus_columns), "longitude", "latitude"))
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```
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## Load Census data
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```{r censusdata, eval = TRUE, echo = TRUE, results = "show", warning = FALSE, error = TRUE, message = FALSE}
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# add population census data
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census_api_key(key = substr(read_file(file = "api_keys/census_api_key"), 1, 40))
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county_populations <- get_estimates(geography = "county", year = 2022, product = "population", state = "Wisconsin", geometry = TRUE) %>%
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filter(variable == "POPESTIMATE") %>%
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mutate(County = str_to_upper(str_replace(NAME, " County, Wisconsin", "")))
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county_populations <- st_transform(county_populations, crs = 4326)
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```
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## Generate County level statistics
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```{r countydata, eval = TRUE, echo = TRUE, results = "show", warning = FALSE, error = TRUE, message = FALSE}
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County_Crash_Data <- Pedestrian_Crash_Data %>%
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filter(PedestrianInjurySeverity %in% c("Fatality", "Suspected Serious Injury", "Suspected Minor Injury")) %>%
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group_by(County, Year) %>%
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summarise(TotalCrashes = n(),
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longitude = mean(longitude, na.rm = TRUE),
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latitude = mean(latitude, na.rm = TRUE)) %>%
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group_by(County) %>%
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summarise(MeanCrashes = mean(TotalCrashes, na.rm = TRUE),
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longitude = mean(longitude, na.rm = TRUE),
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latitude = mean(latitude, na.rm = TRUE))
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County_Crash_geom <- left_join(county_populations, County_Crash_Data, join_by("County"))
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County_Crash_geom <- County_Crash_geom %>%
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mutate(CrashesPerPopulation = MeanCrashes/(value/100000))
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County_Crash_geom$CrashesPerPopulation[is.na(County_Crash_geom$CrashesPerPopulation)] <- 0
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county_pal <- colorNumeric(palette = "YlOrRd", domain = c(min(County_Crash_geom$CrashesPerPopulation, na.rm = TRUE), max(County_Crash_geom$CrashesPerPopulation, na.rm = TRUE)))
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```
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#---- Generate Maps
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## Generate English crash map
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```{r mapenglish, eval = TRUE, echo = TRUE, results = "show", warning = FALSE, error = TRUE, message = FALSE}
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#title style
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tag.map.title <- tags$style(HTML("
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.leaflet-control.map-title {
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transform: translate(-50%,20%);
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position: fixed !important;
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left: 50%;
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text-align: center;
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padding-left: 10px;
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padding-right: 10px;
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background: rgba(255,255,255,0.75);
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font-weight: bold;
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font-size: 28px;
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}
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"))
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title <- tags$div(
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tag.map.title, HTML(paste0("Pedestrians & Bicyclists involved in a crash</br>",
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min(year(TOPS_data$date), na.rm = TRUE),
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" - ",
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max(year(TOPS_data$date), na.rm = TRUE)))
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)
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wisconsin_crash_map <-
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leaflet(options = leafletOptions(preferCanvas = TRUE)) %>%
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# addControl(title, position = "topleft", className="map-title") %>%
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# addControl(subtitle, position = "bottomleft", className="map-subtitle") %>%
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addProviderTiles(providers$Stadia.AlidadeSmooth) %>%
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addPolygons(data = County_Crash_geom,
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color = "black",
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weight = 1,
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fill = FALSE,
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group = "Crash Points") %>%
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addMarkers(data = WI_schools,
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lng=WI_schools$LON,
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lat = WI_schools$LAT,
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icon = school_symbol,
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label = lapply(paste0("<b>", WI_schools$SCHOOL, " School</b></br>",
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WI_schools$DISTRICT, " School District</br>",
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WI_schools$SCHOOLTYPE), htmltools::HTML),
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group = "Schools") %>%
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addCircleMarkers(data = Pedestrian_Crash_Data,
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lng=Pedestrian_Crash_Data$longitude,
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lat=Pedestrian_Crash_Data$latitude,
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fillColor=injury_severity_pal(Pedestrian_Crash_Data$PedestrianInjurySeverity),
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radius=4,
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stroke=TRUE,
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color = "black",
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weight = 1,
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fillOpacity = 0.8,
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label = lapply(paste0("<b>", str_to_title(replace_na(Pedestrian_Crash_Data$vulnerable_role, ""))," </b><br>",
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Pedestrian_Crash_Data$CrashDate, "</br>",
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Pedestrian_Crash_Data$PedestrianInjurySeverity, "</br>",
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replace_na(Pedestrian_Crash_Data$vulnerable_role, ""), " age: ", ifelse(!is.na(Pedestrian_Crash_Data$PedestrianAge), Pedestrian_Crash_Data$PedestrianAge, "unknown age")), htmltools::HTML),
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group = "Crash Points") %>%
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addLegend(position = "bottomleft", labels = injury_severity$InjSevName, colors = injury_severity$color, group = "Crash Points", title = "Injury Severity") %>%
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addPolygons(data = County_Crash_geom,
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color = "black",
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weight = 1,
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fillColor=county_pal(County_Crash_geom$CrashesPerPopulation),
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fillOpacity = 0.6,
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label = lapply(paste0("<b>", str_to_title(County_Crash_geom$County), " County</b></br>",
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"population: ", format(County_Crash_geom$value, nsmall=0, big.mark=","), "<br>",
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"average crashes per year: ", round(County_Crash_geom$MeanCrashes,0), "</br>",
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"average crashes/year per 100k residents: ", round(County_Crash_geom$CrashesPerPopulation,0)), htmltools::HTML),
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group = "Counties") %>%
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addLegend(position = "bottomleft", pal = county_pal, values = County_Crash_geom$CrashesPerPopulation, group = "Counties", title = "Crashes/year</br>(normalized per 100k residents)") %>%
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# addPolygons(data = Place_Crash_geom,
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# color = "black",
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# weight = 1,
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# fillColor=place_pal(Place_Crash_geom$CrashesPerPopulation),
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# fillOpacity = 0.6,
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# label = lapply(paste0("<b>", str_to_title(Place_Crash_geom$NAME), "</b></br>",
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# "population: ", format(Place_Crash_geom$value, nsmall=0, big.mark=","), "<br>",
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# "average crashes per year: ", round(Place_Crash_geom$crash_count,0), "</br>",
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# "average crashes/year per 100k residents: ", round(Place_Crash_geom$CrashesPerPopulation,0)), htmltools::HTML),
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# group = "Places") %>%
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# addLegend(position = "bottomleft", pal = place_pal, values = Place_Crash_geom$CrashesPerPopulation, group = "Places", title = "Crashes/year</br>(normalized per 100k residents)") %>%
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groupOptions(group = "Schools", zoomLevels = 13:20) %>%
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groupOptions(group = "Crash Points", zoomLevels = 10:20) %>%
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groupOptions(group ="Counties", zoomLevels = 1:9)
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# groupOptions(group = "Places", zoomLevels = 10:12)
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wisconsin_crash_map
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saveWidget(wisconsin_crash_map, file = "figures/dynamic_crash_maps/wisconsin_pedestrian_crash_map.html",
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selfcontained = TRUE,
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title = "Wisconsin Bike & Pedestrian Crash Map")
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wisconsin_crash_map_title <- wisconsin_crash_map %>%
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addControl(title, position = "topleft", className="map-title")
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saveWidget(wisconsin_crash_map_title, file = "figures/dynamic_crash_maps/wisconsin_pedestrian_crash_map_title.html",
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selfcontained = TRUE,
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title = "Wisconsin Bike & Pedestrian Crash Map")
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```
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## Generate Spanish crash map
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```{r mapspanish, eval = TRUE, echo = TRUE, results = "show", warning = FALSE, error = TRUE, message = FALSE}
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Sys.setenv(LANG = "es-MX.UTF-8")
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wisconsin_crash_map_es <-
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leaflet(options = leafletOptions(preferCanvas = TRUE)) %>%
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# addControl(title, position = "topleft", className="map-title") %>%
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# addControl(subtitle, position = "bottomleft", className="map-subtitle") %>%
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addProviderTiles(providers$Stadia.AlidadeSmooth) %>%
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addPolygons(data = County_Crash_geom,
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color = "black",
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weight = 1,
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fill = FALSE,
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group = "Crash Points") %>%
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addMarkers(data = WI_schools,
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lng=WI_schools$LON,
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lat = WI_schools$LAT,
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icon = school_symbol,
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label = lapply(paste0("<b>Escuela ", WI_schools$SCHOOL, "</b></br>",
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"Distrito Escolar ", WI_schools$DISTRICT, "</br>",
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WI_schools$SCHOOLTYPE_es), htmltools::HTML),
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group = "Schools") %>%
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addCircleMarkers(data = Pedestrian_Crash_Data,
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lng=Pedestrian_Crash_Data$longitude,
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lat=Pedestrian_Crash_Data$latitude,
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fillColor=injury_severity_pal(Pedestrian_Crash_Data$PedestrianInjurySeverity),
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radius=4,
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stroke=TRUE,
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color = "black",
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weight = 1,
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fillOpacity = 0.8,
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label = lapply(paste0("<b>", str_to_title(replace_na(Pedestrian_Crash_Data$vulnerable_role_es, ""))," </b><br>",
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Pedestrian_Crash_Data$CrashDate, "</br>",
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injury_severity$InjSevName_es[match(Pedestrian_Crash_Data$PedestrianInjurySeverity, injury_severity$InjSevName)], "</br>",
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"edad de ", replace_na(Pedestrian_Crash_Data$vulnerable_role_es, ""), ": ", ifelse(!is.na(Pedestrian_Crash_Data$PedestrianAge), Pedestrian_Crash_Data$PedestrianAge, "edad desconocida")), htmltools::HTML),
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group = "Crash Points") %>%
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addLegend(position = "bottomleft", labels = injury_severity$InjSevName_es, colors = injury_severity$color, group = "Crash Points", title = "Gravedad de la herida") %>%
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addPolygons(data = County_Crash_geom,
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color = "black",
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weight = 1,
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fillColor=county_pal(County_Crash_geom$CrashesPerPopulation),
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fillOpacity = 0.6,
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label = lapply(paste0("<b>Condado de ", str_to_title(County_Crash_geom$County), "</b></br>",
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"población: ", format(County_Crash_geom$value, nsmall=0, big.mark=","), "<br>",
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"choques promedio por año: ", round(County_Crash_geom$MeanCrashes,0), "</br>",
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"choques promedio/año por cada 100.000 habitantes: ", round(County_Crash_geom$CrashesPerPopulation,0)), htmltools::HTML),
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group = "Counties") %>%
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addLegend(position = "bottomleft", pal = county_pal, values = County_Crash_geom$CrashesPerPopulation, group = "Counties", title = "Choques por año</br>(por 100,000 habitantes)") %>%
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groupOptions(group = "Schools", zoomLevels = 13:20) %>%
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groupOptions(group = "Crash Points", zoomLevels = 10:20) %>%
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groupOptions(group ="Counties", zoomLevels = 1:9)
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wisconsin_crash_map_es
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saveWidget(wisconsin_crash_map_es, file = "figures/dynamic_crash_maps/wisconsin_pedestrian_crash_map_es.html",
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selfcontained = TRUE,
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title = "Mapa de Choques de Bicicletas y Peatones en Wisconsin")
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title_es <- tags$div(
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tag.map.title, HTML(paste0("Peatones y ciclistas involucrados en un choque</br>",
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min(year(TOPS_data$date), na.rm = TRUE),
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" - ",
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max(year(TOPS_data$date), na.rm = TRUE)))
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)
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wisconsin_crash_map_es_title <- wisconsin_crash_map_es %>%
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addControl(title_es, position = "topleft", className="map-title")
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saveWidget(wisconsin_crash_map_es_title, file = "figures/dynamic_crash_maps/wisconsin_pedestrian_crash_map_title_es.html",
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selfcontained = TRUE,
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title = "Mapa de Choques de Bicicletas y Peatones en Wisconsin")
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``` |