UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

The Utility of Hotspot Mapping for Predicting Spatial Patterns of Crime

Chainey, S; Tompson, L; Uhlig, S; (2008) The Utility of Hotspot Mapping for Predicting Spatial Patterns of Crime. Security Journal , 21 (1-2) 4 - 28. 10.1057/palgrave.sj.8350066. Green open access

[thumbnail of PREPRINT_-_Chainey,_Tompson_&_Uhlig_2008.pdf]
Preview
PDF
PREPRINT_-_Chainey,_Tompson_&_Uhlig_2008.pdf

Download (953kB)

Abstract

Hotspot mapping is a popular analytical technique that is used to help identify where to target police and crime reduction resources. In essence, hotspot mapping is used as a basic form of crime prediction, relying on retrospective data to identify the areas of high concentrations of crime and where policing and other crime reduction resources should be deployed. A number of different mapping techniques are used for identifying hotspots of crime-point mapping, thematic mapping of geographic areas (e. g. Census areas), spatial ellipses, grid thematic mapping and kernel density estimation (KDE). Several research studies have discussed the use of these methods for identifying hotspots of crime, usually based on their ease of use and ability to spatially interpret the location, size, shape and orientation of clusters of crime incidents. Yet surprising, very little research has compared how hotspot mapping techniques can accurately predict where crimes will occur in the future. This research uses crime data for a period before a fixed date (that has already passed) to generate hotspot maps, and test their accuracy for predicting where crimes will occur next. Hotspot mapping accuracy is compared in relation to the mapping technique that is used to identify concentrations of crime events (thematic mapping of Census Output Areas, spatial ellipses, grid thematic mapping, and KDE) and by crime type-four crime types are compared (burglary, street crime, theft from vehicles and theft of vehicles). The results from this research indicate that crime hotspot mapping prediction abilities differ between the different techniques and differ by crime type. KDE was the technique that consistently outperformed the others, while street crime hotspot maps were consistently better at predicting where future street crime would occur when compared to results for the hotspot maps of different crime types. The research offers the opportunity to benchmark comparative research of other techniques and other crime types, including comparisons between advanced spatial analysis techniques and prediction mapping methods. Understanding how hotspot mapping can predict spatial patterns of crime and how different mapping methods compare will help to better inform their application in practice. Security Journal (2008) 21, 4-28. doi: 10.1057/palgrave.sj.8350066

Type: Article
Title: The Utility of Hotspot Mapping for Predicting Spatial Patterns of Crime
Open access status: An open access version is available from UCL Discovery
DOI: 10.1057/palgrave.sj.8350066
Publisher version: http://dx.doi.org/10.1057/palgrave.sj.8350066
Language: English
Additional information: This is a pre-print of a journal article accepted for publication by the Security Journal in 2008. The definitive publisher-authenticated version Security Journal 21 (1-2) 4 - 28, 2008 is available online at: http://www.palgrave-journals.com/sj/journal/v21/n1/abs/8350066a.html
Keywords: crime hotspot mapping, crime prediction, prediction accuracy index
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Security and Crime Science
URI: https://discovery.ucl.ac.uk/id/eprint/112873
Downloads since deposit
0Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item