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PERSPECTIVES ON THE APPLICATION OF MULTIVARIATE STATISTICS TO TAXONOMY
Author(s) -
Rohlf F. James
Publication year - 1971
Publication title -
taxon
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.819
H-Index - 81
eISSN - 1996-8175
pISSN - 0040-0262
DOI - 10.2307/1218537
Subject(s) - taxonomy (biology) , canonical correlation , multivariate statistics , multidimensional scaling , principal component analysis , numerical taxonomy , statistics , multivariate analysis , sample (material) , computer science , mathematics , biology , ecology , chemistry , chromatography
Summary A brief outline is given of the principal types of multivariate statistical techniques which have found use in taxonomy. Techniques such as correlation, principal components, canonical correlation, and factor analyses are described for problems dealing with analysis of covariation within a single sample. Techniques such as canonical variate, cluster, multidimensional scaling, and network analyses are described for dealing with analyses of among sample variation. The purpose of this account is to give an intuitive understanding of what the various techniques have to offer to research in taxonomy.