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A simple method for visualization of influential landmarks when using euclidean distance matrix analysis
Author(s) -
Cole III Theodore M.,
Richtsmeier Joan T.
Publication year - 1998
Publication title -
american journal of physical anthropology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.146
H-Index - 119
eISSN - 1096-8644
pISSN - 0002-9483
DOI - 10.1002/(sici)1096-8644(199811)107:3<273::aid-ajpa4>3.0.co;2-1
Subject(s) - euclidean distance matrix , visualization , simple (philosophy) , euclidean distance , distance matrix , matrix (chemical analysis) , computer science , euclidean geometry , distance matrices in phylogeny , artificial intelligence , mathematics , algorithm , combinatorics , geometry , philosophy , materials science , epistemology , composite material
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. Am J Phys Anthropol 107:273–283, 1998. © 1998 Wiley‐Liss, Inc.