Synthetic crime incident assumptions
Incident counts are simulated from sparse area-hour patterns, time-of-week effects, weather variation, and selected area features.
Interactive table view behind the Simfluence crime forecasting system demo.
This prototype dataset is synthetic and intentionally fictional. It supports a public safety forecasting example rather than describing a real municipality.
Incident counts are simulated from sparse area-hour patterns, time-of-week effects, weather variation, and selected area features.
Population, density, land area, activity level, and vulnerability flags are generic sample inputs for demonstrating model behavior and risks.
Download the complete synthetic CSV used by the crime risk simulation.
Download full CSV