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  • © 2013

Crime Modeling and Mapping Using Geospatial Technologies

Editors:

  • Poses interesting questions on crime in a geospatial context
  • Tackles various sorts of crime and places them in a geospatial context
  • Discusses a few applications and implementations of GIS
  • Includes supplementary material: sn.pub/extras

Part of the book series: Geotechnologies and the Environment (GEOTECH, volume 8)

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Table of contents (18 chapters)

  1. Front Matter

    Pages i-xiii
  2. Fundamental Spatial Problems

    1. Front Matter

      Pages 1-1
    2. Spatial Heterogeneity in Crime Analysis

      • Martin A. Andresen, Nicolas Malleson
      Pages 3-23
  3. Crime Analysis

    1. Front Matter

      Pages 49-49
    2. Convicted Sex Offender Residential Movements

      • Alan T. Murray, Tony H. Grubesic, Elizabeth A. Mack, Ran Wei, Sergio J. Rey, Luc Anselin et al.
      Pages 51-71
  4. Crime Mapping

    1. Front Matter

      Pages 317-317
    2. Comparing Fear of Crime and Crime Statistics on a University Campus

      • Sven Fuhrmann, Niem Tu Huynh, Ruojing Scholz
      Pages 319-337
    3. Testing the Usability of Time-Geographic Maps for Crime Mapping

      • John D. Morgan, Philip E. Steinberg
      Pages 339-366

About this book

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.

Editors and Affiliations

  • , Department of Geography & Anthropology, Louisiana State University, Baton Rouge, USA

    Michael Leitner

About the editor

Michael Leitner is a Professor at the Department of Geography and Anthropology at the Louisiana State University in Baton Rouge (USA).
At LSU, he is teaching courses in (advanced) computer cartography, GIS, methods of spatial analysis, aerial photo interpretation, and how GPS collected data can be used for the analysis, modeling, and visualization in a GIS environment.
His current research interests include automated map generalization, the visualization of data quality and its effect on spatial decision support, the utilization of GPS for computer mapping, GIS, and spatial analysis, and the development of new techniques (for example, spatial association) for the spatial analysis of crime data.  His research has been published in refereed journals and proceedings and has been presented at (inter)national conferences.
He also works for the Center of Geoinformatics at the University of Salzburg, Austria.

Bibliographic Information

Buy it now

Buying options

eBook USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access