Analyzing Space-Time Dynamics of Theft Rates Using Exchange Mobility
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 W...
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Online Access: | http://www.mdpi.com/2220-9964/7/6/210 |
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doaj-14107b83ada344c88ee4cdbd8a0440f72020-11-24T21:09:55ZengMDPI AGISPRS International Journal of Geo-Information2220-99642018-06-017621010.3390/ijgi7060210ijgi7060210Analyzing Space-Time Dynamics of Theft Rates Using Exchange MobilityYicheng Tang0Xinyan Zhu1Wei Guo2Lian Duan3Ling Wu4State Key Lab of Information Engineering in Surveying Mapping and Remote Sensing, Wuhan University, Wuhan 430079, ChinaState Key Lab of Information Engineering in Surveying Mapping and Remote Sensing, Wuhan University, Wuhan 430079, ChinaState Key Lab of Information Engineering in Surveying Mapping and Remote Sensing, Wuhan University, Wuhan 430079, ChinaSchool of Geographical Sciences and Planning, Guangxi Teachers Education University, Nanning 530001, ChinaDepartment of Sociology, Kent State University, Kent, OH 44240, USAA 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.http://www.mdpi.com/2220-9964/7/6/210crimeexchange mobilityspatial-time concordancerank correlationLIMA |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yicheng Tang Xinyan Zhu Wei Guo Lian Duan Ling Wu |
spellingShingle |
Yicheng Tang Xinyan Zhu Wei Guo Lian Duan Ling Wu Analyzing Space-Time Dynamics of Theft Rates Using Exchange Mobility ISPRS International Journal of Geo-Information crime exchange mobility spatial-time concordance rank correlation LIMA |
author_facet |
Yicheng Tang Xinyan Zhu Wei Guo Lian Duan Ling Wu |
author_sort |
Yicheng Tang |
title |
Analyzing Space-Time Dynamics of Theft Rates Using Exchange Mobility |
title_short |
Analyzing Space-Time Dynamics of Theft Rates Using Exchange Mobility |
title_full |
Analyzing Space-Time Dynamics of Theft Rates Using Exchange Mobility |
title_fullStr |
Analyzing Space-Time Dynamics of Theft Rates Using Exchange Mobility |
title_full_unstemmed |
Analyzing Space-Time Dynamics of Theft Rates Using Exchange Mobility |
title_sort |
analyzing space-time dynamics of theft rates using exchange mobility |
publisher |
MDPI AG |
series |
ISPRS International Journal of Geo-Information |
issn |
2220-9964 |
publishDate |
2018-06-01 |
description |
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. |
topic |
crime exchange mobility spatial-time concordance rank correlation LIMA |
url |
http://www.mdpi.com/2220-9964/7/6/210 |
work_keys_str_mv |
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1716757069572341760 |