We use cookies and other similar technologies (Cookies) to enhance your experience and to provide you with relevant content and ads. By using our website, you are agreeing to the use of Cookies. You can change your settings at any time. Cookie Policy.

SPSS and Information Builders Partner to Assist Richmond Police Department

Originally published November 9, 2005

To more effectively and efficiently deploy its police, the Richmond Virginia Police Department (RPD) has forged a partnership with SPSS and Information Builders to implement a map-based application that forecasts locations most likely to experience crime in a specified time period.

The application will combine SPSS’ predictive analytics with Information Builders’ enterprise business intelligence capabilities, along with an innovative analytical framework developed by RTI International that uses past and current criminal activity to predict areas in which crimes are most likely to occur.  This framework supports the use of factors such as weather patterns, time of day and city-wide events, which are then used to calculate the likelihood of crime in a particular area. This application will assist RPD in predicting crime on a real-time fashion and help deploy its forces accordingly.

“This model has proven to be an effective means of identifying the most likely times and places in which criminal activity will take place by collecting, analyzing and displaying crime data,” said Dr. Colleen McCue, a senior research scientist for RTI who developed the analytical framework. “As such, it provides law enforcement with a powerful tool to help them deploy their resources more effectively.”

This BeyeNETWORK news item contains information from a recent press release by the company mentioned.