Use of geographically weighted regression on ecology of crime, response to hurricane in Miami, Florida

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© Springer Science+Business Media Dordrecht 2014. Research has illuminated the complex natural and social processes that occur after a natural disaster. Despite emergent efforts given to understanding the relationship between natural disasters and crime, few geographers have studied the effect that natural disasters have on the space -time behavior of crime patterns using local-level data. This research highlights aspects of change in patterns of crime as a result of a hurricane disaster; the underlying social, economic, and demographic characteristics may contribute explanations of the changes. Specifically, this study analyzes multiple types of crime as a response to Hurricane Wilma in Miami, Florida, 2005. The results reveal that more accurate predictions of crime for specific crime types in specific cities with use of geographically weighted regression are possible.

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Forensic GIS: The Role of Geospatial Technologies for Investigating Crime and Providing Evidence

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