ID | 12818 |
JaLCDOI | |
Sort Key | 3
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タイトル(別表記) | Spatial analysis of Kawaguchi City crime data
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フルテキストURL | |
著者 |
大下 優夫
岡山大学
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抄録 | 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.
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キーワード | crime data
Kawaguchi city
spatial analysis
spatial autoregressive model
geographically weighted regression
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出版物タイトル |
岡山大学環境理工学部研究報告
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発行日 | 2008-03
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巻 | 13巻
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号 | 1号
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出版者 | 岡山大学環境理工学部
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出版者(別表記) | Faculty of Environmental Science and Technology, Okayama University
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開始ページ | 17
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終了ページ | 22
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ISSN | 1341-9099
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NCID | AN10529213
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資料タイプ |
紀要論文
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OAI-PMH Set |
岡山大学
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言語 |
日本語
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論文のバージョン | publisher
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NAID | |
Eprints Journal Name | fest
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