My question for the morphometrics community is how to handle and absent
and duplicated features in your landmark data. I am asking about true
biological variation here, and not just missing data. Because these are
real specimens, you cannot easily disregard some just because they don’t
easily fit into our morphometric methods – or at least you shouldn’t
disregard them for that reason. But the question remains, what do we do?

One suggestion I have had for the absent data is to over digitize the
nearest landmark locations, essentially digitizing each point twice. I
am not sure that this would work logically, but it’s the only solution I
have heard of. I suppose, if you knew that there would be duplicated
features you could create your digitizing scheme with the over
digitizing in place until you reached the duplicated features. I’m still
not sure how well that would work.

So, I send this out to the collective brains of the morphometric
community. What do we do in this situation?

Thanks for you input.


*/Thomas M. Greiner, Ph.D./*

Assistant Professor of Anatomy

University of Wisconsin – La Crosse

Department of Health Professions

4054 Health Science Center

1725 State Street

La Crosse, WI 54601



Phone: (608) 785-8476

Email: [EMAIL PROTECTED]




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