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A Spatio Temporal Visualizer for Law Enforcement

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Intelligence and Security Informatics (ISI 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2665))

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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.

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References

  1. Archimedean spiral, http://www.2dcurves.com/spiral/spirala.html

  2. Brown, Donald E. 1998. “The Regional Crime Analysis Program (RECAP): A Framework for Mining Data to Catch Criminals.” In Proceedings for the 1998 International Conference on Systems, MAN, and Cybernetics (San Diego, CA, USA, Oct. 11–14). IEEE, Piscataway, N.J., 2848–2853. University of Virginia, June 1998.

    Google Scholar 

  3. Carlis, J. (1998). “Interactive Visualization of Serial Periodic Data,” Proceedings of UserInterface Software and Technology.

    Google Scholar 

  4. Chen, H., D. Zeng, H. Atabakhsh, W. Wyzga & J. Schroeder (2003). “COPLINK: Managing Law Enforcement Data and Knowledge,” Communications of the ACM, pp 28–34.

    Google Scholar 

  5. Environmental Systems Research Institute (ESRI), http://www.esri.com

  6. Fredrikson, A., C. North, C. Plaisant & B. Schneiderman (1999). “Temporal, Geographical and Categorical Aggregations Viewed Through Coordinated Displays: a Case Study with Highway Incident Data,” Human-Computer Interaction Laboratory Technical Report No. 99-31 December 1999, NPIVM, pp 26–34.

    Google Scholar 

  7. Harris, R. (1996). “Information Graphics — A Comprehensive Illustrated Reference,” Management Graphics.

    Google Scholar 

  8. Hibino, S. & E.A. Rudensteiner (1998). “Comparing MMVIS to a Timeline for Temporal Trend Analysis of Video Data,” Proceedings of Advanced Visual Interfaces.

    Google Scholar 

  9. Holly, M. (2001). “Temporal and Spatial Program Hot Spot Visualization,” Technical Report SOCS-01.6.

    Google Scholar 

  10. Kullberg, R.L. (1996). “Dynamic Timelines: Visualizing Historical Information in Three Dimensions,” Proceeding of CHI’ 96, pp 386–387.

    Google Scholar 

  11. Kumar, V. & R. Furuta (1998). “Metadata Visualization for Digital Libraries: Interactive Timeline Editing and Review,” Proceedings of the third ACM conference on Digital libraries, pp 126–133.

    Google Scholar 

  12. Levine, Ned (2000). “CrimeStat: A Spatial Statistics Program for the Analysis of Crime Incident Locations (v 1.1),” URL, http://www.icpsr.umich.edu/NACJD/crimestat.html.

  13. MapInfo, http://www.mapinfo.com

  14. Plaisant, C., B. Milash, A. Rose, S. Widoff & B. Schneiderman (1996). “Lifelines: Visualizing Personal Histories,” ACM CHI’ 96 Conference Proceedings. pp 221–227.

    Google Scholar 

  15. Richter H, J. Brotherton, G.D. Abowd & K. Truong (1999). “A Multi-Scale Timeline Slider for Stream Visualization and Control,” GVU Technical Report GIT-GVU-99-30.

    Google Scholar 

  16. Tufte, E. (1983). “The Visual Display of Quantitative Information”. Graphics Press.

    Google Scholar 

  17. Webber, M., M. Alexa & W. Muller (2000). “Visualizing Time-Series on Spirals”, Technical University of Darmstadt.

    Google Scholar 

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Author information

Authors and Affiliations

  1. MIS Department, AI Lab, University of Arizona, USA

    Ty Buetow, Luis Chaboya, Christopher O’Toole, Tom Cushna, Damien Daspit, Homa Atabakhsh & Hsinchun Chen

  2. Tucson Police Department, Tucson, Arizona, 75701

    Tim Petersen

Authors
  1. Ty Buetow
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  2. Luis Chaboya
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  3. Christopher O’Toole
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  4. Tom Cushna
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  5. Damien Daspit
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  6. Tim Petersen
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  7. Homa Atabakhsh
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  8. Hsinchun Chen
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Editor information

Editors and Affiliations

  1. Department of Management Information Systems, University of Arizona, Tucson, AZ, 85721, USA

    Hsinchun Chen , Daniel D. Zeng  & Therani Madhusudan ,  & 

  2. Tucson Police Department, 270 S. Stone Ave., Tucson, AZ, 85701, USA

    Richard Miranda  & Jenny Schroeder  & 

  3. School of Public Administration and Policy, University of Arizona, Tucson, AZ, 85721, USA

    Chris Demchak

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© 2003 Springer-Verlag Berlin Heidelberg

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Buetow, T. et al. (2003). A Spatio Temporal Visualizer for Law Enforcement. In: Chen, H., Miranda, R., Zeng, D.D., Demchak, C., Schroeder, J., Madhusudan, T. (eds) Intelligence and Security Informatics. ISI 2003. Lecture Notes in Computer Science, vol 2665. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44853-5_14

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  • DOI: https://doi.org/10.1007/3-540-44853-5_14

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40189-6

  • Online ISBN: 978-3-540-44853-2

  • eBook Packages: Springer Book Archive

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