Dear list,
I have a question regarding how to deal with multicollinearity of variables
that enter the Envfit procedure in NMDS {vegan}.
One option is just to do nothing and only mention the intercorrelation between
variables (compare et al Salemaa (2008) Boreal Environment Research).
Other options I know of is to omit the less relevant variable from the Envfit
or only use the residuals of this variable (as suggested by Graham (2003)
Ecology, 84, 2809-2815.). Finally it is possible to do a PCA on the variables
before.
Anyway, are there better solutions to this problem how to deal with
multicollinearity of environmental variables that are used for fitting vectors
(or surfaces) over a NMDS ordination?
If so, I would appreciate if you could also outline briefly how to implement
this solution in R if possible.
Cheers
Ralf Schäfer
------------------------------------------------------------
Prof. Dr. rer. nat. Ralf Bernhard Schäfer
Juniorprofessor for Quantitative Landscape Ecology
Environmental Scientist (M.Sc.)
Institute for Environmental Sciences
University Koblenz-Landau
Forststrasse 7
76829 Landau
Germany
Mail: [email protected]
Phone: ++49 (0) 6341 280-31536
Web: http://tinyurl.com/37ot8xq
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