Crime Patterns and Analysis
Cartography -- Remote sensing, Crime analysis -- Data processing, Spatial analysis (Statistics), Geographic information systems -- Applications to criminology, Spatial data mining
Visualizing spatial information has a long history in the field of cartography. Though there are generally accepted forms of spatial data visualization to represent different types of spatial data, the interpretation of the resulting maps tends to be subjective at best and incorrect, at worst. Cartograms are an increasingly popular form of spatial data visualization, recently applied in political and epidemiological analyses in an attempt to better represent the spatial data under analysis. We use the cartogram procedure to map crime rates and location quotients. Using this visualization approach, we are able to show the usefulness of cartograms to represent crime.
Andresen, M.A., Wuschke, K., Kinney, J.B., Brantingham, P.J., and Brantingham, P.L. (2009). Cartograms, Crime and Location Quotients. Crime Patterns and Analysis 2(1), 31-46.