Publikation: polimaps : Supporting Predictive Policing with Visual Analytics
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2018
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TOMINSKI, Christian, ed. and others. EuroVA 2018 : EuroVis Workshop on Visual Analytics. Goslar: Eurographics Association, 2018, pp. 43-48. ISBN 978-3-03868-064-2. Available under: doi: 10.2312/eurova.20181111
Zusammenfassung
Recently, predictive policing has gained a lot of attention, as the benefits, e.g., better crime prevention or an optimized resource planning are essential goals for law enforcement agencies. Commercial predictive policing systems commonly visualize predictions on maps but provide only little support for human analysts in the technical and methodological processes that constitute corresponding implementations. In this paper, we report on a project of bringing visual analytics to the field of predictive policing. We introduce a process model that includes machine learning as well as visualization and has been developed together with experts from a law enforcement agency. We also showcase a visual analytics tool, called polimaps, that is part of a real-world predictive policing project and implements elements of the proposed process.
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EuroVA 2018 : EuroVis Workshop on Visual Analytics, 4. Juni 2018, Brno, Czech Republic
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STOFFEL, Florian, Hannah POST, Marcus STEWEN, Daniel A. KEIM, 2018. polimaps : Supporting Predictive Policing with Visual Analytics. EuroVA 2018 : EuroVis Workshop on Visual Analytics. Brno, Czech Republic, 4. Juni 2018. In: TOMINSKI, Christian, ed. and others. EuroVA 2018 : EuroVis Workshop on Visual Analytics. Goslar: Eurographics Association, 2018, pp. 43-48. ISBN 978-3-03868-064-2. Available under: doi: 10.2312/eurova.20181111BibTex
@inproceedings{Stoffel2018polim-44034,
year={2018},
doi={10.2312/eurova.20181111},
title={polimaps : Supporting Predictive Policing with Visual Analytics},
isbn={978-3-03868-064-2},
publisher={Eurographics Association},
address={Goslar},
booktitle={EuroVA 2018 : EuroVis Workshop on Visual Analytics},
pages={43--48},
editor={Tominski, Christian},
author={Stoffel, Florian and Post, Hannah and Stewen, Marcus and Keim, Daniel A.}
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