Using GIS to Explore the Relationship between Socioeconomic Status and Demographic Variables and Crime in Pittsburgh, Pennsylvania

نویسنده

  • Stephen E. Mitchell
چکیده

Many areas across the United States have experienced rising crime rates over the last few decades. The identification of variables related to crime could allow policymakers to develop improved approaches to combating crime. Using multiple regression analysis, relationships between socioeconomic status/demographic variables and crime variables were investigated for Pittsburgh, Pennsylvania in a spatial context using census tracts as the geographic unit of analysis. Using Geographic Information Systems (GIS), choropleth maps were created in order to provide visual representations of the statistically related variables. Hotspot analyses were conducted to identify areas having high or low concentrations of values for crime and demographic variables.

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تاریخ انتشار 2011