Malleson, N and Andresen, MA (2015) Spatio-temporal crime hotspots and the ambient population. Crime Science, 4 (10). ISSN 2193-7680
Abstract
It is well known that, due to that inherent differences in their underlying causal mechanisms, different types of crime will have variable impacts on different groups of people. Furthermore, the locations of vulnerable groups of people are highly temporally dynamic. Hence an accurate estimate of the true population at risk in a given place and time is vital for reliable crime rate calculation and hotspot generation. However, the choice of denominator is fraught with difficulty because data describing popular movements, rather than simply residential location, are limited. This research will make use of new ‘crowd-sourced’ data in an attempt to create more accurate estimates of the population at risk for mobile crimes such as street robbery. Importantly, these data are both spatially and temporally referenced and can therefore be used to estimate crime rate significance in both space and time. Spatio-temporal cluster hunting techniques will be used to identify crime hotspots that are significant given the size of the ambient population in the area at the time.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2015 Malleson and Andresen; licensee Springer. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. |
Keywords: | Crime analysis and mapping; Population at risk; Clustering; Big data; Twitter; SatScan |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 31 Jul 2015 13:22 |
Last Modified: | 26 Feb 2019 09:32 |
Published Version: | http://dx.doi.org/10.1186/s40163-015-0023-8 |
Status: | Published |
Publisher: | Springer Open |
Identification Number: | 10.1186/s40163-015-0023-8 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:88698 |