Abstract
The use of geographic information systems (GIS) to understand spatial patterns of crime and criminal behavior has become more prevalent in recent years, but with a few exceptions these analyses fall short of serving as predictive tools. The recent introduction of user-friendly, raster-based mapping software, designed primarily for environmental and planning purposes, offers new tools for examining and predicting crime and criminal behavior. By applying opportunity theories to the crime of residential burglary, this article examines the utility of raster-based mapping software for predicting desirable and undesirable locations of burglaries, as well as likely locations for crime displacement or diffusion. The findings reveal that the model holds promise for serving these prediction purposes.
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