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Climatic classification for queensland using multivariate statistical techniques
Author(s) -
Puvaneswaran Manickam
Publication year - 1990
Publication title -
international journal of climatology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.58
H-Index - 166
eISSN - 1097-0088
pISSN - 0899-8418
DOI - 10.1002/joc.3370100604
Subject(s) - multivariate statistics , factor (programming language) , factor analysis , classification scheme , homogeneous , climatology , cluster (spacecraft) , statistics , environmental science , multivariate analysis , physical geography , geography , mathematics , meteorology , geology , computer science , combinatorics , information retrieval , programming language
An array of 28 climatic variables for 113 stations in Queensland, Australia, is subjected to factor analysis and cluster analysis. The factor analytical approach elucidated three major factors, a humidity factor, a temperature factor, and a rainfall factor, from the matrix. Spatial variation of factor scores was described and linear equations were compiled using the factor loadings that are significant. By grouping these factor scores with the aid of a distance‐grouping technique, Queensland was classified into three major homogeneous climatic regions. A further 12 subclimatic regions have also been identified. These regions were compared with Koppen's classification scheme.