-------- Original Message --------
Subject: Re: Relationships between shape variables
Date: Wed, 3 Dec 2008 04:54:19 -0800 (PST)
From: Dennis E. Slice <[EMAIL PROTECTED]>
To: [email protected]
References: <[EMAIL PROTECTED]>
The answer you seek can be found in Partial Least-Squares Analysis. See
below to get you started.
Bookstein, FL, P Gunz, P Mitteroecker, et al. 2003. Cranial
integration in Homo: singular warps analysis of the midsagittal plane in
ontogeny and evolution. JOURNAL OF HUMAN EVOLUTION 44, no. 2 (February):
167-187.
Mitteroecker, P, and F Bookstein. 2007. The conceptual and statistical
relationship between modularity and morphological integration.
SYSTEMATIC BIOLOGY 56, no. 5 (October): 818-836.
---. 2008. The evolutionary role of modularity and integration in the
hominoid cranium. EVOLUTION 62, no. 4 (April): 943-958.
Rohlf, FJ, and M Corti. 2000. Use of two-block partial least-squares
to study covariation in shape. SYSTEMATIC BIOLOGY 49, no. 4 (December):
740-753.
Best, dslice
morphmet wrote:
-------- Original Message --------
Subject: Relationships between shape variables
Date: Tue, 2 Dec 2008 16:59:21 -0800 (PST)
From: Brendan McCane <[EMAIL PROTECTED]>
To: [email protected]
G'day,
I have a rather technical question (i.e. I'm interested in the
underlying technique rather than software that can do it). Here is the
problem:
Given a sample of images (say lateral images of the human facial
skeleton), we locate quite a number of landmarks (actually
semi-landmarks or slid-landmarks) with landmarks coming from many
different structures. I'd like to test for relationships between the
structures - i.e. do changes in this structure (e.g mandible) , produce
corresponding changes in that structure (e.g. upper dentition). Of
course I can do a Procrustes analysis, followed by a PCA and visually
see how the structures co-vary along the principal axes, but I am
interested in something a little less qualitative, perhaps more along
the lines of a hypothesis test. I was thinking perhaps of canonical
correlation analysis between different sets of structures, but I haven't
seen much work using this technique in shape analysis. Does anyone have
any advice or pointers to other work?
--
Dennis E. Slice
Associate Professor
Dept. of Scientific Computing
Florida State University
Dirac Science Library
Tallahassee, FL 32306-4120
-
Guest Professor
Department of Anthropology
University of Vienna
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