SPATIAL DIFFUSION OF RESIDENTIAL BURGLARIES IN TOKYO:USING EXPLORATORY SPATIAL DATA ANALYSIS
SPATIAL DIFFUSION OF RESIDENTIAL BURGLARIES IN TOKYO:USING EXPLORATORY SPATIAL DATA ANALYSIS
复制标题
东京住宅入室盗窃的空间扩散：利用探索性空间数据分析
DOI：
10.2333/bhmk.31.169
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发表时间：
2004
期刊：
影响因子：
--
通讯作者：
T. Shimada
中科院分区：
文献类型：
--
作者：
T. Shimada
探索性空间数据分析（ESDA）应用于东京住宅区的空间格局，这是由新的开锁工具，称为“开锁”。1996年至2000年（n = 41151）在东京的23个病房的住宅盗窃和破门而入的官方犯罪记录汇总的人口普查区，然后在1997年与全国人口普查数据相匹配。入室盗窃率是按房屋类型计算的：独立式、高层和低层住房。在新的开锁工具出现后，只有高层住宅的入室盗窃率才有所上升。全球和当地的莫兰的我的统计数据显示，集群的独立式住宅盗窃是最显着的和静态的，而那些高层住宅动态位移。其他调查结果的报告和讨论。
Exploratory Spatial Data Analysis (ESDA) is applied to the spatial pattern of residential burglaries in Tokyo, which was caused by new lock-breaking tools, called “lock-picking”. The official crime records of residential burglary and breaking and entering in the 23 wards in Tokyo from 1996 to 2000 (n = 41151) are aggregated by census tract and then matched with the national census data in 1997. The burglary rates are calculated by house type: detached, high-rise and low-rise housings. The burglary rate increased only at high-rise housings after the new lock-breaking tools appeared. Global and local Moran's I statistics revealed that the clusters of detached house burglary were most significant and static, while those of high-rise housing displaced dynamically. Other findings are reported and discussed.