Visualization and Modeling for Crime Data Indexed by Road Segments

Simple item page
dc.contributor.advisorCarr, Daniel B.
dc.contributor.authorHeim, Krista
dc.creatorHeim, Krista
dc.date.accessioned2014-09-29T18:06:27Z
dc.date.available2014-09-29T18:06:27Z
dc.date.issued2014-08
dc.description.abstractThis 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.extent164 pages
dc.identifier.urihttps://hdl.handle.net/1920/8991
dc.language.isoen
dc.rightsCopyright 2014 Krista Heim
dc.subjectStatistics
dc.subjectCrime
dc.subjectMapping
dc.subjectModeling
dc.subjectStatistics
dc.subjectVisualization
dc.titleVisualization and Modeling for Crime Data Indexed by Road Segments
dc.typeDissertation
thesis.degree.disciplineStatistical Science
thesis.degree.grantorGeorge Mason University
thesis.degree.levelDoctoral

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Heim_gmu_0883E_10696.pdf
Size:
4.37 MB
Format:
Adobe Portable Document Format
Download

Collections

College of Engineering and Computing