1: Am J Phys Anthropol  1998 Nov;107(3):273-83 

A simple method for visualization of influential landmarks when using euclidean
distance matrix analysis.

Cole TM 3rd, Richtsmeier JT.

Department of Basic Medical Science, School of Medicine, University of
Missouri-Kansas City, USA. tcole@cctr.umkc.edu

Euclidean distance matrix analysis (EDMA) differs from most other morphometric
methods for the analysis of landmark coordinate data in that it is
coordinate-system invariant. However, strict adherence to coordinate-system
invariance (for both biological and statistical reasons) introduces some
difficulty in using graphic aids for the analysis and interpretation of EDMA
results. We present a simple and effective graphic method to help localize
important differences in form, growth, or shape by identifying "influential"
landmarks. Examples are presented using simulated data and real data involving
both children with craniofacial dysmorphologies and sexual dimorphism in adult
Macaca fascicularis.

Publication Types:
Review
Review, Tutorial

PMID: 9821492 [PubMed - indexed for MEDLINE]