Visualising Property Crime in Gauteng: Applying GIS to Crime Pattern Theory
by: Alexandra Hiropoulos and Jeremy Porter
Argument
- GIS can be a principal tool in the presentation of crime data when used in combination with pertinent social theory that is targeted at the exploration of what determines criminality and crime
Methodology
- Visual analysis using a created map depicting theft out of motor vehicles
- Spatial Autocorrelation (Moran’s I)
- Hotspot analysis to find crime “generators” and crime “attractors”
Results
- Significant clusters of these crimes were located near Central Business Districts and concentrated only within a few precincts
- Places in space do not matter, only crime “generators” and crime “attractors” do when looking for clusters of significance
Rating: 6/10
Reference:
Hiropoulos, A., & Porter, J. (2016). Visualising property crime in Gauteng: Applying GIS to crime pattern theory. South African Crime Quarterly, (47) doi:10.17159/2413-3108/2014/v0i47a802