Adepeju, MO orcid.org/0000-0002-9006-4934 and Evans, A (Accepted: 2018) A dynamic microsimulation framework for generating synthetic spatiotemporal crime patterns. In: GISRUK 2018 Proceedings. 26th GIScience Research UK Conference (GISRUK 2018), 17-20 Apr 2018, Leicester. (Unpublished)
Abstract
The significance of synthetic crime datasets in criminological research cannot be underestimated, as real crime datasets are usually unavailable in many policing jurisdictions, due to reasons such as privacy concerns and the lack of shareable data formats. This study introduces a dynamic microsimulation framework by which a specified spatiotemporal crime pattern can be synthesised. A case study presented compares a real crime dataset with the synthesised datasets, and found certain spatiotemporal similarities between them. The developed model has the potential for wider applications in criminology, given some identified areas of improvement.
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 conference paper accepted to the 26th GIScience Research UK Conference. |
Keywords: | crime patterns; dynamic microsimulation; synthetic crime; spatiotemporal pattern |
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) |
Funding Information: | Funder Grant number Home Office No External Reference |
Depositing User: | Symplectic Publications |
Date Deposited: | 16 Mar 2018 13:30 |
Last Modified: | 28 Feb 2024 14:49 |
Status: | Unpublished |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:128602 |