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Proceedings Paper

Visual analytics for law enforcement: deploying a service-oriented analytic framework for web-based visualization
Author(s): Scott T. Dowson; Joe Bruce; Daniel M. Best; Roderick M. Riensche; Lyndsey Franklin; William A. Pike
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Paper Abstract

This paper presents key components of the Law Enforcement Information Framework (LEIF), an information system that provides communications, situational awareness, and visual analytics tools in a service-oriented architecture supporting web-based desktop and handheld device users. LEIF simplifies interfaces and visualizations of wellestablished visual analytic techniques to improve usability. Advanced analytics capability is maintained by enhancing the underlying processing to support the new interface. LEIF development is driven by real-world user feedback gathered through deployments at three operational law enforcement organizations in the U.S. The system incorporates a robust information ingest pipeline supporting a wide variety of information formats. LEIF also insulates interface and analytical components from information sources making it easier to adapt the framework for many different data repositories.

Paper Details

Date Published: 30 April 2009
PDF: 10 pages
Proc. SPIE 7346, Visual Analytics for Homeland Defense and Security, 734603 (30 April 2009); doi: 10.1117/12.820305
Show Author Affiliations
Scott T. Dowson, Pacific Northwest National Lab. (United States)
Joe Bruce, Pacific Northwest National Lab. (United States)
Daniel M. Best, Pacific Northwest National Lab. (United States)
Roderick M. Riensche, Pacific Northwest National Lab. (United States)
Lyndsey Franklin, Pacific Northwest National Lab. (United States)
William A. Pike, Pacific Northwest National Lab. (United States)


Published in SPIE Proceedings Vol. 7346:
Visual Analytics for Homeland Defense and Security
William J. Tolone; William Ribarsky, Editor(s)

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