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The Multi Nearest Neighbor Distance Method for Analyzing the Compound Effect of Infrastructural Elements on the Distribution of Activity Points
Author(s) -
Okabe Atsuyuki,
Yoshikawa Tohru
Publication year - 1989
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.1538-4632.1989.tb00890.x
Subject(s) - apartment , distribution (mathematics) , computer science , class (philosophy) , multivariate statistics , statistical analysis , k nearest neighbors algorithm , function (biology) , data mining , statistics , mathematics , artificial intelligence , machine learning , engineering , civil engineering , mathematical analysis , evolutionary biology , biology
We propose a statistical method to analyze the compound effect of infrastructural elements (such as stations, arterial streets, and lakes) on the distribution of activity points (such as retail stores) over a region. First, we formulate a function that explicitly shows the compound effect of infrastructural elements. Second, we show an efficient computational method for estimating this compound function from data. Third, we develop multivariate statistical methods for testing several hypotheses about these compound effects. Last, we examine the compound effect of arterial streets and subway stations on the distribution of “high‐class” apartment buildings in Sumida‐Kohto, Tokyo.