A spatio temporal visualizer for law enforcement

Authors:
Ty Buetow;Luis Chaboya;Christopher O'Toole;Tom Cushna;Damien Daspit;Tim Petersen;Homa Atabakhsh;Hsinchun Chen
Affiliations:
University of Arizona, MIS Department, AI Lab;University of Arizona, MIS Department, AI Lab;University of Arizona, MIS Department, AI Lab;University of Arizona, MIS Department, AI Lab;University of Arizona, MIS Department, AI Lab;Tucson Police Department, Tucson, Arizona;University of Arizona, MIS Department, AI Lab;University of Arizona, MIS Department, AI Lab
Venue:
ISI'03 Proceedings of the 1st NSF/NIJ conference on Intelligence and security informatics
Year:
2003

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Abstract

Analysis of crime data has long been a labor-intensive effort. Crime analysts are required to query numerous databases and sort through results manually. To alleviate this, we have integrated three different visualization techniques into one application called the Spatio Temporal Visualizer (STV). STV includes three views: a timeline; a periodic display; and a Geographic Information System (GIS). This allows for the dynamic exploration of criminal data and provides a visualization tool for our ongoing COPLINK project. This paper describes STV, its various components, and some of the lessons learned through interviews with target users at the Tucson Police Department.