Journal of the Japanese Society of Computational Statistics
Online ISSN : 1881-1337
Print ISSN : 0915-2350
ISSN-L : 0915-2350
Theory and Applications
A NEW GRAPHICAL APPROACH TO CLASSIFY SPATIAL POINT PATTERNS BASED ON HIERARCHICAL CLUSTER ANALYSIS
Takai TsutomuTamura YoshiyasuMotoyama Hitoshi
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2017 年 30 巻 1 号 p. 1-14

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In this paper, a novel graphical method to classify spatial point patterns is proposed. This method is called the AG-curve. It is constructed using the results of hierarchical cluster analysis, and it has many variations corresponding to the various agglomeration methods used in such analysis. The characteristics of the AGsi-curve,which is a variant of the AG-curve, are clarified and several applications to real data are shown. The classification performance of the AGsi-curve is compared with that of other graphical methods, and the difference between the AGsi-curve and the other methods is shown graphically.

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