-------- Original Message --------
Subject: Prediction of landmark coordinates from other landmarks
Date: Fri, 14 Jan 2011 12:30:21 -0500
From: Pierre Guyomarc'h <[email protected]>
To: [email protected]
Dear morphometricians,
I’m trying to use geometric morphometrics to predict the coordinates of
a group of landmarks from another group of landmarks (of the same
individual). The goal is to predict human facial skin features from bony
morphology. As I’m no mathematician or statistician, I have some
difficulties to evaluate the integrity of my methods. After short
discussion with some morphometricians, I heard different opinions and
advices. That’s why I’m submitting my questions more largely by throwing
this bottle to the sea! What do you think of:
-Method 1: predict each 3D coordinate of the unknown landmarks (group 2)
from the PCs of a PCA ran on the known landmarks (group 1) through
multivariate regressions.
-Method 2: use best covariating groups of landmarks through PLS analysis
and use the scores and PCA to predict the 3D coordinates of group 2.
This methodology has been proposed at the 4th Meeting of Junior
Scientists in Anthropology (Freiburg im Breisgau, March 2010). The
proceedings are available at
http://www.freidok.uni-freiburg.de/volltexte/7603/ and my contribution
is at p.84. Feel free to consult it if you have time. A more complete
description of this method is exposed.
-Method 3: I would be really grateful if you can find me a third method!
I’m open to all comments, even negative ones since they are constructive…
Thanks!
--
Pierre Guyomarc'h (PhD Student)
Université Bordeaux 1 - UMR 5199 PACEA (CNRS)
/Anthropology of Past and Present Populations/ (A3P)
Av. des Facultés, Bât B8 - 33405 Talence cedex
http://www.pacea.u-bordeaux1.fr/
