n Acta Criminologica: Southern African Journal of Criminology - Application of spatial technology and multi-land use classes in aid of a crime management strategy : a microanalytical approach

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This article serves to illustrate the utilisation of remote sensing technology, integrated with geographic information systems (GIS), which are overlaid with geo-coded crime data that provide a spatial technology basis for use as a crime management strategy. The contribution of this research to criminological science lies in the information related to the spatial distribution of human activity as represented by land-use classes and their correlation with specific crime types as well as the dynamics involved. The area falling within the borders of the City of Tshwane Metropolitan Municipality was selected as study area and covers approximately 2 200 square kilometres with 28 police precincts. The environmental and socio-economic profile of each of the 28 police precincts within Tshwane is significantly different, as are the identified growth patterns defined in terms of the relevant land-use classes. A crime analysis was done based on geo-coded crime data from 2002 to 2004, based upon the Daily Statistics for Serious Crime that was compiled by the South African Police Service (SAPS) and consists of 46 crime types. The pattern indicated very few changes or displacement except for an increase in the Akasia, Wonderboompoort and Eersterust areas. The highest numbers of incidents each year were recorded in the Pretoria Central, Sunnyside, Brooklyn and Mamelodi areas. Furthermore, four specific crime types were selected for further spatial analysis based on the availability of data collected from a victimisation survey done by the International Crime Victim Survey (ICVS) in which South Africa participated.


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