{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,22]],"date-time":"2026-04-22T06:52:54Z","timestamp":1776840774289,"version":"3.51.2"},"reference-count":52,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2023,5,23]],"date-time":"2023-05-23T00:00:00Z","timestamp":1684800000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["42171415"],"award-info":[{"award-number":["42171415"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJGI"],"abstract":"<jats:p>Time geography considers that the motion of moving objects can be expressed using space\u2013time paths. The existing time geography methods construct space-time paths using discrete trajectory points of a moving point object to characterize its motion patterns. However, these methods are not suitable for moving polygon objects distributed by point sets. In this study, we took a type of crime event as the moving object and extracted its representative point at each moment, using the median center to downscale the polygon objects distributed by the point sets into point objects with timestamps. On this basis, space\u2013time paths were generated by connecting the representative points at adjacent moments to extend the application scope of space\u2013time paths, representing the motion feature from point objects to polygon objects. For the case of the City of London, we constructed a space\u2013time path containing 13 nodes for each crime type (n = 14). Then, each edge of the space\u2013time paths was considered as a monthly vector, which was analyzed statistically from two dimensions of direction and norm, respectively. The results showed that crime events mainly shifted to the east and west, and crime displacement was the greatest in April. Therefore, space\u2013time paths as proposed in this study can characterize spatiotemporal trends of polygon objects (e.g., crime events) distributed by point sets, and police can achieve improved success by implementing targeted crime prevention measures according to the spatiotemporal characteristics of different crime types.<\/jats:p>","DOI":"10.3390\/ijgi12060210","type":"journal-article","created":{"date-parts":[[2023,5,23]],"date-time":"2023-05-23T01:36:48Z","timestamp":1684805808000},"page":"210","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Construction and Analysis of Space\u2013Time Paths for Moving Polygon Objects Based on Time Geography: A Case Study of Crime Events in the City of London"],"prefix":"10.3390","volume":"12","author":[{"given":"Zhangcai","family":"Yin","sequence":"first","affiliation":[{"name":"School of Resource and Environmental Engineering, Wuhan University of Technology, Wuhan 430070, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuan","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Resource and Environmental Engineering, Wuhan University of Technology, Wuhan 430070, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8066-9203","authenticated-orcid":false,"given":"Shen","family":"Ying","sequence":"additional","affiliation":[{"name":"School of Resource and Environmental Sciences, Wuhan University, Wuhan 430072, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2023,5,23]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1111\/j.1538-4632.2005.00575.x","article-title":"A measurement theory for time geography","volume":"37","author":"Miller","year":"2005","journal-title":"Geogr. 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