[R-sig-Geo] Best way to provide meaningful interpretation of axes out of GNESFA, KSelect and Niche analyses

[Roland Pape]

Dear list,

while working with the adehabitatHS package to explore habitat use of different animal species I wondered about the best solution to provide a meaningful interpretation of the axes resulting from the various approaches. 
According to the vignette of the package (p 19), it is preferred to give meaning to the axes of the Gnesfa with the help of correlations between the environmental variables and the axes of the Gnesfa rather than using the coefficients of the variables. The reason to do so (correlated variables may render the interpretation of coefficients difficult) holds also for other approaches like the Kselect and Niche analyses. However, their output provides per default only variable coordinates and normed scores with the latter being used to give meaning to the axes. Wouldn't it be appropriate to use correlations here as well and if yes, how could they be achieved?

Kind regards,
Roland