A functional classification of metropolitan communities
Author(s) -
Roy Kass
Publication year - 1973
Publication title -
demography
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.099
H-Index - 129
eISSN - 1533-7790
pISSN - 0070-3370
DOI - 10.2307/2060849
Subject(s) - metropolitan area , similarity (geometry) , function (biology) , computer science , artificial intelligence , machine learning , geography , pattern recognition (psychology) , econometrics , mathematics , biology , image (mathematics) , evolutionary biology , archaeology
Five major approaches to the functional classification of communities have been offered. Although most of them allow the recognition of a community as specialized in more than one function, their application necessitates consideration of the several individual functions one at a time. This paper offers a method for classification that takes account of the entire configuration of selected functions. Eight industrial groups were used in determining which SMSA’s of 1960 had similar configurations of functional activity. The procedure for determining this similarity, which reduced the job to a manageable size, is described as are the distinguishing functional configurations.
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