Canonical Correspondence Analysis
42
7.13
Correlation of Env. Vars
This tab gives the weighted and unweighted Pearson correlations between the
environmental variables. When two environmental variables are highly correlated,
only one of them is likely to be of value as a predictor of species composition. If they
are perfectly correlated (R = 1),  then they both cannot be used in the analysis as it
will result in a singular matrix (i.e. it has no inverse matrix). The best analysis will
tend to be produced following the selection of environmental variables that are not
highly correlated.
When running a Redundancy analysis, the Correlation between Environmental
Variables is shown in a single grid as shown. These are the Simple Pearson
Correlations.
When running a Correspondence Analysis two buttons will be shown, the simple,
unweighted values as above, selected by pressing the  Simple  button, and the
Weighted Pearson Correlations weighted by the row sums of the species matrix,
selected with the  Weighted  button.
These results can be printed or exported from the File menu and copied from the Edit
Copyright 2004  PISCES Conservation Ltd





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