川口市犯罪データの空間分析

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.