Please use this identifier to cite or link to this item: http://hdl.handle.net/10125/41317

HotSketch: Drawing Police Patrol Routes among Spatiotemporal Crime Hotspots

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dc.contributor.author Godwin, Alex
dc.contributor.author Stasko, John
dc.date.accessioned 2016-12-29T00:35:17Z
dc.date.available 2016-12-29T00:35:17Z
dc.date.issued 2017-01-04
dc.identifier.isbn 978-0-9981331-0-2
dc.identifier.uri http://hdl.handle.net/10125/41317
dc.description.abstract During the course of a day, a police unit is expected to move throughout the city to provide a visible presence and respond quickly to emergencies. Planning this movement at the beginning of the shift can provide a helpful first step in ensuring that officers are present in areas of high crime, but these plans can quickly break down as they are pulled away to 911 calls. Once such an initial plan is deferred, police units need to be able to rapidly and fluidly decide where to go next depending on their immediate location and time. In this paper, we present our research to couple spatiotemporal analysis of historical crime data with sketch-based interaction methods. This research is presented through an initial prototype, HotSketch, which we describe through a set of use cases within the domain of police patrol route planning.
dc.format.extent 9 pages
dc.language.iso eng
dc.relation.ispartof Proceedings of the 50th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Human Computer Interaction
dc.subject Information Visualization
dc.subject Public Safety
dc.subject Spatiotemporal Data
dc.subject Visual Analytics
dc.title HotSketch: Drawing Police Patrol Routes among Spatiotemporal Crime Hotspots
dc.type Conference Paper
dc.type.dcmi Text
dc.identifier.doi 10.24251/HICSS.2017.164
Appears in Collections: Interactive Visual Decision Analytics Minitrack


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