SciELO - Scientific Electronic Library Online

 
 issue47 author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand

Journal

Article

Indicators

    Related links

    • On index processCited by Google
    • On index processSimilars in Google

    Share


    South African Crime Quarterly

    On-line version ISSN 2413-3108Print version ISSN 1991-3877

    Abstract

    HIROPOULOS, Alexandra  and  PORTER, Jeremy. Visualising property crime in Gauteng: Applying GIS to crime pattern theory. SA crime q. [online]. 2014, n.47, pp.17-28. ISSN 2413-3108.  https://doi.org/10.4314/sacq.v47i1.2.

    While the high rate of crime in South Africa has received much international attention, mainly focused on violent crime, the vast majority of offences reported to the South African Police Service concern property and other non-violent offences. The present study explores the relationship between one of the most frequently reported property crimes (thefts out of motor vehicles) and the environment in which they occur, using Geographic Information Systems (GIS). Utilising the framework of crime pattern theory, crime generators and attractors are visually examined in order to determine whether they can explain concentrations of crime. We argue that when used in conjunction with relevant social theory aimed at the examination of the determinants of crime and criminality, GIS can be a powerful practical tool in the presentation of crime data.

            · text in English     · English ( pdf )