If you perform a single GPA and compute partial warp scores for all of your data (perhaps using the tpsRelw program) then you can use the weight matrix as any other data matrix. For example, that matrix could be split into the 8 populations, means computed, and then a matrix of distances between the 8 means. That matrix could be compared with a matrix of genetic distances.
If you were to use the Mahalanobis distances then you would not really be using a measure of shape differences. ---------------------------------------------- F. James Rohlf, Distinguished Professor Dept. Ecology & Evolution, Stony Brook University Stony Brook, NY 11794-5245 http://life.bio.sunysb.edu/ee/rohlf > -----Original Message----- > From: morphmet [mailto:[EMAIL PROTECTED] > Sent: Friday, February 16, 2007 6:37 PM > To: morphmet > Subject: shape distance and genetic distance among populations > > Hi all, > > I have landmark data from 8 populations of a widespread > species. The populations differ quite dramatically in shape > and I would like to determine how much of that variation > might correspond to genetic variation (DNA sequence data) > among the same populations. What I think I could do is to > compute pairwise distances among all populations in shape > space and compare that to a matrix of pairwise genetic > distances using something like a Mantel test. My question: > is there an easy way to generate a matrix of pairwise > distances (Mahalonobis distance?) in any of the TPS series of > programs (or any other program). I could then take the two > matrices and use something like NTSYS (I think it will do > this) to compare them. Any suggestions about how to do this, > other than manually in a spreadsheet? > > Thanks, > > Mark > > Mark C. Belk > Professor, Integrative Biology > Brigham Young University > 801-422-4154 > > > > > -- > Replies will be sent to the list. > For more information visit http://www.morphometrics.org > -- Replies will be sent to the list. For more information visit http://www.morphometrics.org
