A spatio temporal visualizer for law enforcement

Ty Buetow, Luis Chaboya, Christopher O'Toole, Tom Cushna, Damien Daspit, Tim Petersen, Homa Atabakhsh, Hsinchun Chen

Research output: Contribution to journalArticle

9 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)181-194
Number of pages14
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2665
StatePublished - Dec 1 2003

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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