STAT4011 Project | Analyzing crime pattern shifts for patrol optimization
This part of project analyzed Los Angeles crime data to discover "tidal patterns"—systematic shifts in crime hotspots throughout the day. These patterns help optimize police patrols by predicting where crimes are most likely to occur at different times.
- Daytime: Crime concentrates in downtown & business areas
- Nighttime: Crime moves to transportation hubs & entertainment districts
- Interactive Maps: For each of LA's 21 areas
- Grid-based analysis: Split each area into equal grids
- Smart risk scoring:
Risk = Weighted(Crime Severity + Historical Frequency) - Top-5 selection: For each time period, highlight 5 highest-risk grids
- Better patrol schedules: Match officers to predicted crime tides
- Resource focus: Concentrate on top 5 high-risk zones per shift
- Early warning: Spot unusual patterns
output/← Interactive HTML maps (21 areas)analysis/← Code for risk calculations
Data: LA crime records (2010-2019 & 2020-2025) | Course: STAT4011 Statistics Projects