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Visualization and Modeling for Crime Data Indexed by Road Segments

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dc.contributor.advisor Carr, Daniel B.
dc.contributor.author Heim, Krista
dc.creator Heim, Krista en_US
dc.date.accessioned 2014-09-29T18:06:27Z
dc.date.available 2014-09-29T18:06:27Z
dc.date.issued 2014-08 en_US
dc.identifier.uri https://hdl.handle.net/1920/8991
dc.description.abstract This research develops crime hotspot analysis and visualization methodology that use street segments as the basic study unit. This incorporates the distance between points along a polyline rather than the standard Euclidean distance and has some distinct advantages over past methods. For each crime, this method creates a weight according to its distance from each road segment of its surrounding block. To create the hotspot visualization map, crime counts are smoothed over road segments based on the distance to nearest segments and the angle at which nearest roads meet at intersections. Crime data from the City of Alexandria, VA Police Department and San Francisco, CA (available at data.sfgov.org) are considered here using a combination of conventional ArcGIS and R graphics.
dc.format.extent 164 pages en_US
dc.language.iso en en_US
dc.rights Copyright 2014 Krista Heim en_US
dc.subject Statistics en_US
dc.subject crime en_US
dc.subject mapping en_US
dc.subject modeling en_US
dc.subject statistics en_US
dc.subject visualization en_US
dc.title Visualization and Modeling for Crime Data Indexed by Road Segments en_US
dc.type Dissertation en
thesis.degree.level Doctoral en
thesis.degree.discipline Statistical Science en
thesis.degree.grantor George Mason University en


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