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Canonical Ordination

  • Daniel Borcard
  • François Gillet
  • Pierre Legendre
Chapter
Part of the Use R book series (USE R)

Abstract

Simple (unconstrained) ordination analyses one data matrix and reveals its major structure in a graph constructed from a reduced set of orthogonal axes. It is therefore a passive form of analysis, and the user interprets the ordination results a posteriori, as described in Chap. 5. Canonical ordination, on the contrary, associates two or more data sets in the ordination process itself. Consequently, if one wishes to extract structures of a data set that are related to structures in other data sets, and/or formally test statistical hypotheses about the significance of these relationships, canonical ordination is the way to go.

Keywords

Explanatory Variable Linear Discriminant Analysis Fish Community Canonical Correspondence Analysis Canonical Correlation Analysis 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  • Daniel Borcard
    • 1
  • François Gillet
    • 2
  • Pierre Legendre
    • 1
  1. 1.Département de sciences biologiquesUniversité de MontréalMontréalCanada
  2. 2.UMR 6249 Chrono-environnement UFR Sciences et TechniquesUniversité de Franche-Comté - CNRSBesançon cedexFrance

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