Last reply got a bit mixed - the bat section was for Carmelo... On Tuesday, November 29, 2016 at 10:04:02 AM UTC+11, Christy Hipsley wrote: > > Dear Morphmet-ers, > > I'm seeking advice on methods for visualizing shape features that > distinguish multiple groups using GM. I know CVA has fallen out of favor > for a number of reasons discussed here - e.g., more variables than groups, > nonisotropic variation: > > Mitteroecker, P., and Bookstein, F. 2011. Linear discrimination, > ordination, and the visualization of selection gradients in modern > morphometrics. Evol. Biol. 38:100–114. > Klingenberg, C. P., and Monteiro, L. R. 2005. Distances and directions in > multidimensional shape spaces: Implications for morphometric applications. > Syst. Biol. 54:678–688. > > Although given these limitations, is it really expected to give completely > false results regarding the visualization of shape changes? In my study > sytem, I show that ecological groups have statistically different cranial > shapes, using both Procrustes ANOVA and PGLS. Now I simply want to > visualize what the main features are that distinguish them, preferably > using warps or wireframes, so that those changes must be directly > relateable to the original landmark coordinates. I did that using > individual specimens instead of species means, so I have 161 individuals vs > 144 variables (48 landmarks*3D). I also did a between-group PCA on the > species means which shows the same pattern, so is it technically "wrong" to > show both? > > Thanks for any feedback on this issue, and I would appreciate to hear any > alternative methods that people might use. I use MorphoJ and Geomorph for > analyses. > > Best, > Christy >
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