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ISPRS Int. J. Geo-Inf. 2018, 7(6), 210; https://doi.org/10.3390/ijgi7060210

Analyzing Space-Time Dynamics of Theft Rates Using Exchange Mobility

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1,2,3
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1,4,* , 5,6,* and 7,*
1
State Key Lab of Information Engineering in Surveying Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China
2
Collaborative Innovation Center of Geospatial Technology, Wuhan 430079, China
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Key Laboratory of Aerospace Information Security and Trusted Computing of the Ministry of Education, Wuhan University, Wuhan 430079, China
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De Key Laboratory of Police Geographic Information Technology, Ministry of Public Security, Changzhou 213022, China
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School of Geographical Sciences and Planning, Guangxi Teachers Education University, Nanning 530001, China
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Education Ministry Key Laboratory of Environment Evolution and Resources Utilization in Beibu Bay, Guangxi Teachers Education University, Nanning 530001, China
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Department of Sociology, Kent State University, Kent, OH 44240, USA
*
Authors to whom correspondence should be addressed.
Received: 1 May 2018 / Revised: 21 May 2018 / Accepted: 27 May 2018 / Published: 2 June 2018
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Abstract

A critical issue in the geography of crime is the quantitative analysis of the spatial distribution of crimes which usually changes over time. In this paper, we use the concept of exchange mobility across different time periods to determine the spatial distribution of the theft rate in the city of Wuhan, China, in 2016. To this end, we use a newly-developed spatial dynamic indicator, the Local Indicator of Mobility Association (LIMA), which can detect differences in the spatial distribution of theft rate rankings over time from a distributional dynamics perspective. Our results provide a scientific reference for the evaluation of the effects of crime prevention efforts and offer a decision-making tool to enhance the application of temporal and spatial analytical methods. View Full-Text
Keywords: crime; exchange mobility; spatial-time concordance; rank correlation; LIMA crime; exchange mobility; spatial-time concordance; rank correlation; LIMA
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Tang, Y.; Zhu, X.; Guo, W.; Duan, L.; Wu, L. Analyzing Space-Time Dynamics of Theft Rates Using Exchange Mobility. ISPRS Int. J. Geo-Inf. 2018, 7, 210.

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