Mapping incident information in iVALET

Live views, historical reports, and forecasting

Technology: Objective-C, iOS Native Development
Project: Visual Analytics Law Enforcement Toolkit (iVALET)
Client: Purdue University

Developed for Purdue University, iVALET gives law enforcement and first responders mobile access to criminal, traffic, and civil incident information. The iOS application brings several views of that data into one interface.

The application’s three main views

1. Current incidents on an interactive map

The Google Maps interface lets users choose the activity categories they want to see and open map pins for more detail. While the app is active, the incident data refreshes every 60 seconds.

2. Historical activity and timeline views

Users can select date ranges to review earlier incidents and use a timeline to see activity change over time. A network connection is required because the application does not keep its own local data store.

3. Predictive Forecasting

The app incorporates temporal prediction algorithms to forecast future criminal, traffic, and civil incident levels.
These forecasts operate within a 95% confidence interval, offering highly reliable projections that help agencies anticipate trends and make informed strategic decisions.