@inbook{c6ba173de2bb4f06b93e901d39f7ab38,
title = "A spatio temporal visualizer for law enforcement",
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.",
author = "Ty Buetow and Luis Chaboya and Christopher O'Toole and Tom Cushna and Damien Daspit and Tim Petersen and Homa Atabakhsh and Hsinchun Chen",
year = "2003",
doi = "10.1007/3-540-44853-5_14",
language = "English (US)",
isbn = "354040189X",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer-Verlag",
pages = "181--194",
editor = "Hsinchun Chen and Zeng, {Daniel D.} and Therani Madhusudan and Richard Miranda and Jenny Schroeder and Chris Demchak",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
}