Nodes, Paths, and Edges: Using Mental Maps to Augment Crime Data Analysis in Urban Spaces

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dc.contributor.authorGodwin, Alexen_US
dc.contributor.authorStasko, John T.en_US
dc.contributor.editorBarbora Kozlikova and Tobias Schreck and Thomas Wischgollen_US
dc.date.accessioned2017-06-12T05:19:57Z
dc.date.available2017-06-12T05:19:57Z
dc.date.issued2017
dc.description.abstractCitizen participation can provide valuable insight into data that is not captured by official sources. In this paper, we propose a technique for using mental maps consisting of three fundamental elements: nodes, paths, and edges. These elements can be used to augment crime data analysis in urban spaces by incorporating the values and knowledge of citizens. We apply this technique to an analysis of property crime in three US cities: Baltimore, Atlanta, and Chicago. Subsequently, we find these cities have neighborhoods where the crime could be substantially higher-or perceived by citizens as higher-than is accounted for in the official public crime data. This analysis can be a vital first step for identifying hidden hotspots or better understanding public perceptions of high crime.en_US
dc.description.sectionheadersMultidimensional and Geospatial Visualization
dc.description.seriesinformationEuroVis 2017 - Short Papers
dc.identifier.doi10.2312/eurovisshort.20171127
dc.identifier.isbn978-3-03868-043-7
dc.identifier.pages19-23
dc.identifier.urihttps://doi.org/10.2312/eurovisshort.20171127
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/eurovisshort20171127
dc.publisherThe Eurographics Associationen_US
dc.titleNodes, Paths, and Edges: Using Mental Maps to Augment Crime Data Analysis in Urban Spacesen_US
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