It sounds as though you are looking to do a cluster analysis for statistical 
grouping of like estuaries. This method is outlined in virtually all 
multivariate analysis books. PROC CLUSTER is the SAS procedure. 

Best

Ling
Ling Huang
Sacramento City College

--- On Wed, 9/26/12, Wayne Tyson <[email protected]> wrote:

From: Wayne Tyson <[email protected]>
Subject: Re: [ECOLOG-L] Visualizing functional diversity
To: [email protected]
Date: Wednesday, September 26, 2012, 7:11 PM

Please describe function in ecosystems.

WT

----- Original Message ----- From: "Katharine Miller" <[email protected]>
To: <[email protected]>
Sent: Wednesday, September 26, 2012 4:07 PM
Subject: [ECOLOG-L] Visualizing functional diversity


Hello,

I have used Rao's quadratic entropy to evaluate functional diversity between
a number of estuaries for which I also have a GIS database.  I would like to
be able to visualize which sites are more functionally similar across the
region to evaluate patterns in dispersal, etc.

I know it is possible to use the pairwise functional beta diversity values
as a distance matrix in a Mantel test or multivariate regression on
distances matrices (MRM) when comparing functional diversity to, for
example, environmental data.  Would it also be appropriate to use these
values in a PAM or other clustering method to identify estuaries that are
more/less similar in functional diversity?

This is likely to sound like a very naive question, but I have done an
extensive literature search and have not found where this has been done
before  - perhaps because it is a bad idea for other reasons?

Any insights and/or references on this approach would be greatly appreciated.

Thank you


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