This study looks into the relationship between habitat complexity and its physical features. In order to treat the variables considered, principal components analysis (PCA) was used to reduce the number of dimensions in a given data set.  Correlation of the habitats of Anurans to its physical features was done by nominal logistic regression. The study shows the efficacy of the principal components analysis in determining the physical features of the habitat of anuran species. Moreover, the habitat of anuran species is greatly influenced by its physico-chemical parameters that make up its complexity thus, promoting species abundance and diversity.


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How to Cite
RIVERA, Rodrin Rivelleza et al. PRINCIPAL COMPONENTS DECOMPOSITION OF PHYSICAL FEATURES OF ANURAN HABITATS. Journal of Higher Education Research Disciplines, [S.l.], v. 3, n. 1, june 2018. ISSN 2546-0579. Available at: <>. Date accessed: 19 jan. 2022.