• Journal of Geo-information Science
  • Vol. 22, Issue 4, 887 (2020)
Lin LIU1、1、2、2、3、3、4、4、*, Siyi LIANG1、1、2、2, and Guangwen SONG3、3
Author Affiliations
  • 1School of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, China
  • 1中山大学地理科学与规划学院,广州 510275
  • 2Guangdong Provincial Engineering Research Center for Public Security and Disaster, Guangzhou 510275, China
  • 2广东省公共安全与灾害工程技术研究中心,广州 510275
  • 3Center of Geographic Information Analysis for Public Security, School of Geographic Sciences, Guangzhou 510006, China
  • 3广州大学地理科学学院公共安全地理信息分析中心,广州 510006
  • 4Department of Geography, University of Cincinnati, Cincinnati OH 45221-0131, USA
  • 4辛辛那提大学地理系,辛辛那提 OH 45221-0131
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    DOI: 10.12082/dqxxkx.2020.190709 Cite this Article
    Lin LIU, Siyi LIANG, Guangwen SONG. Explaining Street Contact Crime based on Dynamic Spatio-Temporal Distribution of Potential Targets[J]. Journal of Geo-information Science, 2020, 22(4): 887 Copy Citation Text show less
    References

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    Lin LIU, Siyi LIANG, Guangwen SONG. Explaining Street Contact Crime based on Dynamic Spatio-Temporal Distribution of Potential Targets[J]. Journal of Geo-information Science, 2020, 22(4): 887
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