The work of crime analysts and modellers could benefit substantially from the use of new spatial data sets that are becoming more readily available. Examples include road networks (e.g. Open Street Map), building boundary datasets (e.g Ordnance Survey MasterMap) as well as under-utilised social network data (e.g. Twitter) or other volunteered sources. The GeoCrimeData Project is exploring many novel data sources and manipulating them using geographical routines in order to generate new forms of spatial intelligence that can help to add value to the interpretation of recorded crime data.

For more information:

  • GeoCrimeData blog
  • Hirschfield, A., M. Birkin, C. Brunsdon, N. Malleson and A. Newton (2014). How Places Influence Crime: The Impact of Surrounding Areas on Neighbourhood Burglary Rates in a British City. Urban Studies 1(5) 1057-1072 DOI: 10.1177/0042098013492232