Adepeju, MO orcid.org/0000-0002-9006-4934 (2017) Investigating the Repeat and Near-Repeat Patterns in Sub-categories of burglary crime. In: Proceedings of the 2017 International Conference on GeoComputation. International Conference on GeoComputation, 04-07 Sep 2017, Leeds, UK. Centre for Computational Geography, University of Leeds
Abstract
The investigation of repeat and near - repeat (RNR) patterns of sub-categories of burglary crimes is of great importance to law enforcement since a distinct intervention strategy may be suitable in the application to a different sub-category. In this study, the Knox test is used to investigate the RNR patterns within the data set of three different sub-categories of burglary crime in relation to the city of San Francisco in the United States. The results of the investigation showed that each sub-category exhibits a distinct RNR patterns, based on spatio-temporal interactions revealed by the Knox test. This study suggests that similar characteristics may be obtainable in the sub-categories of other major crime types; the outcomes of which may enhance crime interventions.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | This is an author produced version of a paper presented at the 2017 International Conference on GeoComputation. |
Keywords: | Spatio-temporal, crime hotspot, near-repeat, burglary, Knox test |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds) > Centre for Spatial Analysis & Policy (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 16 Nov 2017 15:39 |
Last Modified: | 16 Nov 2017 17:46 |
Published Version: | http://www.geocomputation.org/2017/papers/2.pdf |
Status: | Published |
Publisher: | Centre for Computational Geography, University of Leeds |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:124154 |