岡山大学環境理工学部研究報告 ISSN 2187-6940
Published by Faculty of Environmental Science and Technology, Okayama University

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川口市犯罪データの空間分析

大下 優夫 岡山大学
垂水 共之 岡山大学
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.
キーワード
crime data
Kawaguchi city
spatial analysis
spatial autoregressive model
geographically weighted regression
ISSN
1341-9099
NCID
AN10529213