このエントリーをはてなブックマークに追加
ID 12818
Eprint ID
12818
FullText URL
Title Alternative
Spatial analysis of Kawaguchi City crime data
Author
Ohshimo, Yuki
Abstract
In this paper, we built some models of the spatial data, and evaluate those, using the crime data of Kawaguchi city, Saitama prefecture in Japan. Compute the Moran’I statistics of five crime data related to thefts in the city, the value of sneakthief take the aggregation. So, we pay attention to the sneak, and make a model to estimate the incidence of the events. As a regression, we select the old-age index among regional indexes. Applying a simple regression(SR), a spatial autoregressive model(SAR), a geographically weighted regression(GWR) , we evaluate these models. In GWR model, it is interesting that there are some sections in which the sign of the coefficient takes the opposite versus SR and SAR models. So, stratifying the data by the sign of it, we investigate to data precisely.
Keywords
crime data
Kawaguchi city
spatial analysis
spatial autoregressive model
geographically weighted regression
Published Date
2008-03
Publication Title
岡山大学環境理工学部研究報告
Publication Title Alternative
Journal of the Faculty of Environmental Science and Technology Okayama University
Volume
volume13
Issue
issue1
Publisher
岡山大学環境理工学部
Publisher Alternative
Faculty of Environmental Science and Technology, Okayama University
Start Page
17
End Page
22
ISSN
1341-9099
NCID
AN10529213
Content Type
Departmental Bulletin Paper
Related Url
http://www.okayama-u.ac.jp/user/est/homeJapan.html
language
日本語
File Version
publisher
Refereed
False
Eprints Journal Name
fest