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A multivariate classification and regionalization of west African climates
Author(s) -
Anyadike R. N. C.
Publication year - 1987
Publication title -
journal of climatology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.58
H-Index - 166
eISSN - 1097-0088
pISSN - 0196-1748
DOI - 10.1002/joc.3370070206
Subject(s) - generality , cluster (spacecraft) , multivariate statistics , geography , climatology , multivariate analysis , work (physics) , physical geography , statistics , mathematics , computer science , geology , engineering , psychology , psychotherapist , programming language , mechanical engineering
Cluster analysis is used to group into regions over West Africa, a climatic data set which had been previously reduced to four factors. The regions thus derived are more firmly climate based than is the case with previous classifications. Various degrees of generality are also achieved by the methods, ranging from five regions at the primary level to twenty regions for more detailed work. Overall, a ten‐region climatic cluster is found to be optimal for most purposes.