地理科学进展 ›› 2012, Vol. 31 ›› Issue (4): 419-425.doi: 10.11820/dlkxjz.2012.04.004

• 理论与方法研究 • 上一篇    下一篇

犯罪热点时空分布研究方法综述

陆娟1,2, 汤国安1, 张宏1, 蒋平2, 吴伟2   

  1. 1. 南京师范大学虚拟地理环境教育部重点实验室, 南京 210046;
    2. 南京市公安局,南京 210005
  • 收稿日期:2011-08-01 修回日期:2011-10-01 出版日期:2012-04-25 发布日期:2012-04-25
  • 基金资助:
    “十一五”国家科技支撑计划项目(2008BAH23B01).

A Review of Research Methods for Spatiotemporal Distribution of the Crime Hot Spots

LU Juan1,2, TANG Guoan1, ZHANG Hong1, JIANG Ping2, WU Wei2   

  1. 1.Key laboratory of Virtual Geographic Environment of Ministry of Education, Nanjing Normal University, Nanjing 210046, China;
    2. Nanjing Public Security Bureau, Nanjing 210005, China
  • Received:2011-08-01 Revised:2011-10-01 Online:2012-04-25 Published:2012-04-25

摘要: 犯罪在地理时空内并不是均匀分布的,而是表现出明显的时空聚集特性,这种聚集性常用“犯罪热点”表述.基于对犯罪热点的理解,从犯罪热点时空分布模式、犯罪热点成因分析以及犯罪热点时空转移及预测等3 个方面总结了当前国内外犯罪热点时空分布相关研究方法的进展.最后,对该领域研究进行了总结与展望.总体上,国内相关研究较少,尚需进一步结合中国国情,提出适用方法.另外,也需要通过相关犯罪理论的深入研究以及其他领域研究方法的借鉴,实现犯罪热点时空分布研究方法的突破与创新.

关键词: 犯罪, 犯罪热点, 时空分布, 研究方法

Abstract: Crime is not distributed uniformly within the geographic time and space, and it shows significant spatial and temporal aggregation, which is called the "crime hot spots". Based on the understanding of crime hot spots, this paper reviews the current international development of research methods for the spatiotemporal distribution of crime hot spots in three aspects, including spatiotemporal patterns, cause analysis methods and spatiotemporal transfer and forecast. Finally, this paper summarizes the research about spatiotemporal distribution analysis of crime hot spots and made prospects of its future trends. On the whole, there have been relatively fewer related domestic research, so we should enhance some methods for crime analysis in combination of China's national conditions. In addition, some breakthroughs and innovations need to be made in the research methods for the spatiotemporal distribution of crime hot spots through in-depth research of the crime theory and the research in other fields as a reference.

Key words: crime, crime hot spots, research methods, spatiotemporal distribution