地理科学 ›› 2016, Vol. 36 ›› Issue (1): 55-62.doi: 10.13249/j.cnki.sgs.2016.01.007
收稿日期:
2014-12-24
修回日期:
2015-04-15
出版日期:
2016-01-20
发布日期:
2016-01-20
作者简介:
作者简介:徐冲(1985-),男,河南开封人,博士,主要从事城市犯罪和城市地理研究。E-mail:
基金资助:
Chong Xu1(), Lin Liu1,2(
), Suhong Zhou1
Received:
2014-12-24
Revised:
2015-04-15
Online:
2016-01-20
Published:
2016-01-20
Supported by:
摘要:
在无时空考虑的密度估计算法基础上,分别加入了案件点之间的时间临近相似性、空间临近相似性和时空临近相似性的考虑,利用DP半岛2006~2007年的街头抢劫犯罪数据为基础计算无时空临近相似性、时间临近相似性、空间临近相似性和时空临近相似性4种不同算法所得到的犯罪热点图,并以之预测2008年的街头抢劫。通过Natural breaks(Jenks)分级方法和等比例面积选取两种方式来划定热点区域进行预测并进行PAI指数得分比较,结果表明时空临近相似性的密度估计算方法在犯罪预测的优势比较显著。
中图分类号:
徐冲, 柳林, 周素红. 基于临近相似性考虑的犯罪热点密度图预测准确性比较——以DP半岛街头抢劫犯罪为例[J]. 地理科学, 2016, 36(1): 55-62.
Chong Xu, Lin Liu, Suhong Zhou. The Comparison of Predictive Accuracy of Crime Hotspot Density Maps with the Consideration of the Near Similarity:A Case Study of Robberies at DP Peninsula[J]. SCIENTIA GEOGRAPHICA SINICA, 2016, 36(1): 55-62.
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