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ID 12818
JaLCDOI
Sort Key
3
Title Alternative
Spatial analysis of Kawaguchi City crime data
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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
Publication Title
岡山大学環境理工学部研究報告
Published Date
2008-03
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
OAI-PMH Set
岡山大学
language
日本語
File Version
publisher
NAID
Eprints Journal Name
fest