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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.
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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Autoren-Profil
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.
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.
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