1998
DOI: 10.1023/a:1009708824434
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Cited by 27 publications
(5 citation statements)
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“…CIA starts by performing a multivariate analysis like principal component analysis (PCA) [41], non-symmetrical correspondence analysis (NSC) [42] or correspondence analysis (CA) [43] on each individual data set. The produced results are a set of principal axes that maximize the projected variability (inertia) of each data set independently.…”
Section: Methodsmentioning
confidence: 99%
“…CIA starts by performing a multivariate analysis like principal component analysis (PCA) [41], non-symmetrical correspondence analysis (NSC) [42] or correspondence analysis (CA) [43] on each individual data set. The produced results are a set of principal axes that maximize the projected variability (inertia) of each data set independently.…”
Section: Methodsmentioning
confidence: 99%
“…obs. ;Daniels, 1992;Gimaret-Carpentier, Dray & Pascal, 2003;Vyas, 2003Vyas, , 2004Davidar, Puyravaud & Leigh, 2005).…”
Section: Sample Numbers and Horizontal Line Between Samples 13 And 14mentioning
confidence: 99%
“…Pronounced climatic gradients are thought to have had a telling impact on the diversity and distribution of Western Ghats organisms, particularly amphibians (e.g. Daniels, 1992;Gadgil, 1996;Gimaret-Carpentier et al, 2003;Davidar et al, 2005), making the biology of I. bombayensis and how it might vary along the Western Ghats an intriguing system worthy of further investigation.…”
Section: Sample Numbers and Horizontal Line Between Samples 13 And 14mentioning
confidence: 99%
“…In all case studies, matrices L and Q were preliminarily processed by Correspondence Analysis and Fuzzy Correspondence Analysis (Cheveńet et al, 1994) respectively, whereas matrix R was processed either by standardised Principal Component Analysis or Hill and Smith Analysis (Hill and Smith, 1976) depending on the presence of qualitative habitat descriptors next to quantitative ones. Following detrending, residual values in matrix L were rescaled by subtraction to the minimum value of the matrix in order to get null or positive values as negative ones cannot be processed by Correspondence Analysis; this does not affect data structure and relationships between taxa (columns) which are attributed the same importance (same column sum) as in Non-Symmetric Correspondence Analysis (Grimaret-Carpentier et al, 1998). The RLQ-Fourth-corner methodology provides unbiased R-Q correlations unlike the more popular community weighted mean (CWM), which can critically overestimate these correlations as CWM ignores biological variations within communities (Peres-Neto et al, 2017).…”
Section: Trawling-induced Disturbance Gradientmentioning
confidence: 99%