A Study on the Optimum Mesh Size for Continuous Variables

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Other Title
  • 連続変量の最適メッシュ区分について
  • 連続変量の最適メッシュ区分について--メンタルマップを用いてのケーススタディ
  • レンゾク ヘンリョウ ノ サイテキ メッシュ クブン ニ ツイテ メンタル マ
  • An Example by Using a Mental Map
  • メンタルマップを用いてのケーススタディ

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Abstract

<p>The purpose of this paper is to investigate the optimum mesh size for continuous variables distributed in two-dimensional urban spatial meshes. In the Investigation. the Greig Smith Procedure (GSP) and Akaike Information Criterion (AIC) were used and compared. As a conclusion, it can be said that, GSP are more limited by the total meshos configuration than AIC. Furthermore, from the case study by using the montal map data of Shibata city in Niigata prefecture, it can be shown that for the above purpose AIC Is more effective than GSP.</p>

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