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Crime Modeling and Mapping Using Geospatial Technologies

by Leitner, Michael.
Authors: SpringerLink (Online service) Series: Geotechnologies and the Environment ; . 8 Physical details: XIII, 446 p. 152 illus., 110 illus. in color. online resource. ISBN: 940074997X Subject(s): Geography. | Geographical information systems. | Statistics. | Criminology. | Geography. | Geographical Information Systems/Cartography. | Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law. | Criminology & Criminal Justice.
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E-Book E-Book AUM Main Library 910.285 (Browse Shelf) Not for loan

From the Contents: Spatial Heterogeneity in Crime Analysis -- When Does a Drug Market Become a Drug Market? Finding the Boundaries of Illicit Event Concentrations -- Convicted Sex Offender Residential Movements -- Street-Level Spatiotemporal Crime Analysis: Examples from Bronx County, NY (2006–2010) -- Exploring Spatial Patterns of Crime Using Non-Hierarchical Cluster Analysis -- Reconstitution of the Journeys to Crime and Location of their Origin in the Context of a Crime Series. A Raster Solution for a Real Case Study -- Journey-to-Crime by Gender and Age Group in Manchester, England -- Crime Scene Locations in Criminal Homicides: A Spatial Crime Analysis in a GIS Environment.

Recent years in North America have seen a rapid development in the area of crime analysis and mapping using Geographic Information Systems (GIS) technology. In 1996, the US National Institute of Justice (NIJ) established the crime mapping research center (CMRC), to promote research, evaluation, development, and dissemination of GIS technology. The long-term goal is to develop a fully functional Crime Analysis System (CAS) with standardized data collection and reporting mechanisms, tools for spatial and temporal analysis, visualization of data and much more.  Among the drawbacks of current crime analysis systems is their lack of tools for spatial analysis. For this reason, spatial analysts should research which current analysis techniques (or variations of such techniques) that have been already successfully applied to other areas (e.g., epidemiology, location-allocation analysis, etc.) can also be employed to the spatial analysis of crime data. This book presents a few of those cases.

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