Original Message
Subject: Understanding Morphologika
Date: Wed, 3 Mar 2010 09:41:33 +
From: a.vanhete...@roehampton.ac.uk
To: morphmet_modera...@morphometrics.org
Dear Colleagues
I have two unrelated issues, for which I don’t
w.r.t. problem 2. The curvature of shape space, itself, introduces some
purely geometric variation that is picked up by PCA. For 2D, you expect
to lose 4 dimensions of variation. In fact, you get three exactly zero
eigenvalues and one very, very small one. The latter (usually, but I can
Original Message
Subject: tpsRegr and semilandmarks
Date: Wed, 3 Mar 2010 13:00:33 -0500
From: Ben Wasserman ben.a.wasser...@duke.edu
To: morphmet@morphometrics.org
Hello,
I am investigating the relationship between geometric morphometrics
and feeding performance in two
