Prospective Hot-Spotting: The Future of Crime Mapping?
Existing methods of predicting and mapping the future locations of crime are intrinsically retrospective. This paper explores the development of a mapping procedure that seeks to produce prospective' hot-spot maps. Recent research conducted by the authors demonstrates that the risk of burglary...
| Authors: | ; ; |
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| Format: | Electronic/Print Article |
| Language: | English |
| Published: |
2004
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| In: |
The British journal of criminology
Year: 2004, Volume: 44, Issue: 5, Pages: 641-658 |
| Online Access: |
Volltext (doi) |
| Journals Online & Print: | Drawer...
|
| Availability in Tübingen: | Present in Tübingen. IFK: In: Z 7 |
| Check availability: | HBZ Gateway |
| Keywords: |
MARC
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| 520 | |a Existing methods of predicting and mapping the future locations of crime are intrinsically retrospective. This paper explores the development of a mapping procedure that seeks to produce prospective' hot-spot maps. Recent research conducted by the authors demonstrates that the risk of burglary is communicable, with properties within 400 metres of a burgled household being at a significantly elevated risk of victimization for up to two months after an initial event. We discuss how, using this knowledge, recorded crime data can be analysed to generate an ever-changing prospective risk surface. One of the central elements of this paper examines the issue of how such a risk surface could be evaluated to determine its effectiveness and utility in comparison to existing methods. New methods of map evaluation are proposed, such as the production of search efficiency rates and area-to-perimeter ratios; standardized metrics that can be derived for maps produced using different techniques, thereby allowing meaningful comparisons to be made and techniques contrasted. The results suggest that the predictive mapping technique proposed here has considerable advantages over more traditional methods and might prove particularly useful in the shift-by-shift deployment of police personnel | ||
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