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Statistical Analysis of the Distribution of Points on a Network
Author(s) -
Okabe Atsuyuki,
Yomono Hidehiko,
Kitamura Masayuki
Publication year - 1995
Publication title -
geographical analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.773
H-Index - 65
eISSN - 1538-4632
pISSN - 0016-7363
DOI - 10.1111/j.1538-4632.1995.tb00341.x
Subject(s) - statistic , categorical variable , distribution (mathematics) , statistical analysis , statistics , computer science , extension (predicate logic) , point (geometry) , mathematics , econometrics , data mining , mathematical analysis , geometry , programming language
This paper shows four statistical methods that examine the distribution of points on a network (such as the distribution of retail stores along streets). The first statistical method is an extension of the nearest‐neighbor distance method (the Clark‐Evans statistic) defined on a plane to the method defined on a network. The second statistical method examines the effect of categorical attribute values of links (say, types of streets) on the distribution of activity points on a network. The third statistical method examines the effect of infrastructural elements (such as railway stations) on the distribution of activity points on a network. The fourth statistical method examines the compound effect of multiple kinds of infrastructural elements (say, railway stations and big parks) on the distribution of activity points on a network. These methods are discussed with empirical examples.