menu. See 
Export Active Grid
Binary Environments
While quantitative environmental variables can best be represented on a biplot as a
vector (see 
Correlation of Env. Vars
) some environmental variables such light or dark
are best coded as a 0 or 1. These are termed binary variables (see
Dummy Environmental variables
 ). Such variables can be represented on a biplot as a
vector but are best displayed as a single point   a centroid. This grid gives the co 
ordinates of the binary variables in the data set. N/A (for not applicable) is marked
beside quantitative environmental variables.
These results can be printed or exported from the File menu and copied from the Edit
menu. See 
Export Active Grid
Biplot Scores
This tab gives the co ordinates of the environmental variables which are used in the
When a canonical Correspondence Analysis is undertaken you will be offered three
buttons above the grid that can be used to show the correlations between the
environmental variables and the site (sample) scores for each axis. These correlations
will help to identify which environmental variables are most influential for each axis.
For each axis, the environmental variable that has the greatest positive or negative
correlation will be the most important determinant. These correlations should not be
used in isolation as they can be misleading, you should also consider the size of the
Eigenvalue (see 
Variance & Eigenvalues
) for the axis to assess if the environmental
variables explain an appreciable proportion of the total variability.
Use the buttons at the top of the form to show three different parts of the output .
Copyright 2004  PISCES Conservation Ltd

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