Visually Exploring Worldwide Incidents Tracking System Data
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.
- Research Organization:
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- AC05-76RL01830
- OSTI ID:
- 925492
- Report Number(s):
- PNNL-SA-56916; 400904120; TRN: US200809%%510
- Resource Relation:
- Conference: Visualization and Data Analysis, 28-29 January 2008. Proceedings of SPIE, 6809:paper number 68090N [7 pages]
- Country of Publication:
- United States
- Language:
- English
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