27 Ordination
We’re all just points on a graph.
27.1 Unconstrained ordination methods
27.1.1 Principal components analysis (PCA)
27.1.2 Principal components analysis (PCoA)
27.1.3 Correspondence analysis (CA)
27.1.4 Nonmetric multidimensional scaling (NMDS)
27.2 Constrained ordination methods
Constrained ordination methods, also called canonical ordination methods, identify major axes of multivariate variation that are associated with one or more explanatory variables. Unlike unconstrained ordination, which summarizes patterns in the response variables alone, constrained ordination incorporates information about potential predictors when constructing the ordination axes.