This paper presents refinements of an existing analytic tool, Juxter, which was developed for the visualization of multi-dimensional categorical data, and explores its application to support exploration and interaction with open source Worldwide Incidents Tracking System (WITS) data. The volume and complexity of data available on terrorism makes it hard to analyze. Information systems that can efficiently and effectively collect, access, analyze, and report terrorist incidents can help in further studies focused on preventing, detecting, and responding to terrorist attacks. Existing interfaces to the WITS data support advanced search capabilities, and geolocation but lack functionality for identifying patterns and trends. To better support efficient browsing we have refined Juxter’s existing capabilities for filtering, selecting, and sorting elements and categories within the visualization.
Revised: March 11, 2008 |
Published: January 27, 2008
Citation
Chhatwal S.D., and S.J. Rose. 2008.Visually Exploring Worldwide Incidents Tracking System Data. In Visualization and Data Analysis, 28-29 January 2008. Proceedings of SPIE, edited by Katy Börner, Matti T. Gröhn, Jinah Park, Jonathan C. Roberts, 6809, paper number 68090N [7 pages]. Bellingham, Washington:SPIE Publications.PNNL-SA-56916.doi:10.1117/12.783665