One challenge for police and other public safety officials is deciding where to put patrols to effectively reduce crime incidents. One idea is that traffic incidents co-occur with more serious crime, commonly called the Data-Driven Approaches to Crime and Traffic Safety (DDACTS) model.
To explore this idea in JMP, I recoded the data into traffic and non-traffic incidents, and used Graph Builder in JMP to overlay density maps of each precinct. You can see that traffic and overall crime did have a similar pattern in April in San Francisco.
Finally, I wanted to know more about when incidents occur. Again, I used Graph Builder, this time to make heat maps based on time, date and precinct. The heat maps provide a great overview, and they would be a helpful tool for staffing and force planning. At first, I was a little surprised that 6 pm is a high crime time in downtown San Francisco, but then I realized that is when everyone is out and about − including me!