added crash_summary_charts.R script
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644d591fc8
4 changed files with 150 additions and 17 deletions
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@ -1,6 +1,6 @@
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library(tidyverse)
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library(sf)
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library(tmap)
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#library(tmap)
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library(leaflet)
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library(RColorBrewer)
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library(tidycensus)
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@ -81,17 +81,17 @@ focus_columns <- c("PedestrianInjurySeverity", "CrashDate", "CrashTime", "County
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focus_county <- "DANE"
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## generate map with tmap ----
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tmap_mode("view")
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Pedestrian_Crash_Data <- TOPS_geom %>%
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# filter(CNTYNAME == focus_county) %>%
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select(all_of(focus_columns))
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tm_basemap("Stadia.AlidadeSmooth") +
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tm_shape(Pedestrian_Crash_Data) +
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tm_dots("PedestrianInjurySeverity", palette = injury_severity$color, popup.vars = focus_columns)
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tmap_save(file = "figures/dynamic_crash_maps/dynamic_crash_map.html")
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# tmap_mode("view")
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#
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# Pedestrian_Crash_Data <- TOPS_geom %>%
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# # filter(CNTYNAME == focus_county) %>%
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# select(all_of(focus_columns))
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#
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# tm_basemap("Stadia.AlidadeSmooth") +
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# tm_shape(Pedestrian_Crash_Data) +
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# tm_dots("PedestrianInjurySeverity", palette = injury_severity$color, popup.vars = focus_columns)
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#
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# tmap_save(file = "figures/dynamic_crash_maps/dynamic_crash_map.html")
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# generate map with leaflet ----
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@ -138,7 +138,7 @@ tag.map.title <- tags$style(HTML("
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"))
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title <- tags$div(
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tag.map.title, HTML("Pedestrian Crashes</br>2017-2023")
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tag.map.title, HTML("Pedestrians & Bicyclists hit by cars</br>2017-2023")
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)
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tag.map.subtitle <- tags$style(HTML("
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@ -156,7 +156,7 @@ tag.map.subtitle <- tags$style(HTML("
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"))
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subtitle <- tags$div(
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tag.map.subtitle, HTML("data from UW TOPS lab - retrieved 4/2024</br>per direction of the WisDOT Bureau of Transportation Safety")
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tag.map.subtitle, HTML("data from UW TOPS lab - retrieved 3/2024</br>per direction of the WisDOT Bureau of Transportation Safety")
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)
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leaflet() %>%
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@ -193,3 +193,6 @@ leaflet() %>%
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# addLegendSize(position = "bottomright", color = "black", shape = "circle", values = County_Crash_Data$value.y, group = "Counties", title = "Population of County") %>%
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groupOptions(group ="Counties", zoomLevels = 1:9)
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