stats19Cars and Crime Symposium Workshop
2026-07-30
Session Duration: 60 Minutes
{stats19}
{stats19} R Packagelibrary(stats19)
library(sf)
library(dplyr)
# Download crash data for a specific year
crashes_2022 <- get_stats19(year = 2022, type = "crash")
# Format into spatial sf object
crashes_sf <- format_sf(crashes_2022)
# Download casualties and vehicles linked to crashes
casualty_2022 <- get_stats19(year = 2022, type = "casualty")
vehicle_2022 <- get_stats19(year = 2022, type = "vehicle")1. Denominators & Exposure
Denominator Neglect!
2. Low Frequency Events & Aggregation
3. Risk of ‘Wonky’ Inferences
criticalissuesA complementary tool for exploring road safety data at high spatial resolution:
criticalissues.netlify.app — WYCA region with signal layer
Options:
Led by: Robin
{stats19} vignettes and spatial analysis workflows.crashes + casualties + vehicles.Led by: Roger
Thank you for participating!