polimaps: Supporting Predictive Policing with Visual Analytics

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dc.contributor.authorStoffel, Florianen_US
dc.contributor.authorPost, Hannaen_US
dc.contributor.authorStewen, Marcusen_US
dc.contributor.authorKeim, Daniel A.en_US
dc.contributor.editorChristian Tominski and Tatiana von Landesbergeren_US
dc.date.accessioned2018-06-02T17:57:03Z
dc.date.available2018-06-02T17:57:03Z
dc.date.issued2018
dc.description.abstractRecently, 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.en_US
dc.description.sectionheadersApplications
dc.description.seriesinformationEuroVis Workshop on Visual Analytics (EuroVA)
dc.identifier.doi10.2312/eurova.20181111
dc.identifier.isbn978-3-03868-064-2
dc.identifier.pages43-47
dc.identifier.urihttps://doi.org/10.2312/eurova.20181111
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/eurova20181111
dc.publisherThe Eurographics Associationen_US
dc.subjectH.5.2 [User Interfaces]
dc.subjectGraphical user interfaces (GUI)
dc.subjectUsercentered design
dc.subjectI.3.8 [Computer Graphics]
dc.subjectApplications
dc.titlepolimaps: Supporting Predictive Policing with Visual Analyticsen_US
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