Nonlinear redundancy analysis and canonical correspondence analysis based on polynomial regression

By Vladimir Makarenkov, Pierre Legendre. 2002

161 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Food Science, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/9709245bcbd21d6a84476747dba722868c6909e2

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In Analytical Chemistry

In Food Science

In Statistics and Probability

Citations in the corpus

The role of habitat complexity on spider communities in native alpine grasslands of New Zealand (2013, methodology): “An ANOVA like permutation test (1000 permutations) 2012 The Authors Insect Conservation and Diversity 2012 The Royal Entomological Society, Insect Conservation and Diversity, 6, 124–134 was conducted to test for the significance of the constraints under a reduced model followed by a partial RDA to o”
From Classical to Canonical Ordination (2012, methodology): “Other programs and packages allow the computation of some forms of canonical analysis: the PC-ORD and SYN-TAX packages, and the program POLYNOMIAL_RDACCA of Makarenkov and Legendre (2002).”
Statistical approaches in landscape genetics: an evaluation of methods for linking landscape and genetic data (2009, background): “Furthermore, CCA was specifically designed for very large, complex data sets, and it can be adjusted for non-linear response curves (Makarenkov and Legendre 2002).”
Crustacean zooplankton in lakes and reservoirs of temperate and tropical regions: variation with trophic status (2005, methodology): “To visualize and compare the effects of trophic status and latitude on crustacean zooplankton species assemblages, we used linear and nonlinear canonical correspondence analyses (CCAs) (ter Braak 1994; Legendre and Legendre 1998; Makarenkov and Legendre 2002 ).”
DIRECT MULTI‐SCALE ORDINATION WITH CANONICAL CORRESPONDENCE ANALYSIS (2004, background): “This concerns residual analysis, but also the limitation to a linear regression model (Makarenkov and Legendre 2002).”