Principal component analysis (PCA) of microhabitat variables.

Sebastian Buckingham (724823)
Nick Murphy (46926)
Heloise Gibb (148009)

Publication date

April 2015

DOI

10.1371/journal.pone.0124556.t001

Abstract

<p>Eigenvalues were 2.7 and 2.0 for PC1 and PC2 respectively, explaining 30 and 22% of the variance in microhabitat characteristics, respectively. Variables with values greater than 0.3 are considered to contribute strongly to the axes and are represented in bold.</p><p>Principal component analysis (PCA) of microhabitat variables.</p

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Principal component analysis (PCA) of microhabitat variables.

Abstract

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Principal component analysis (PCA) of microhabitat variables.

Abstract

Extracted data

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