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

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 diffi...

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Veröffentlicht in:American journal of physical anthropology 1998-11, Vol.107 (3), p.273-283
Hauptverfasser: Cole III, Theodore M., Richtsmeier, Joan T.
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description 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.
doi_str_mv 10.1002/(SICI)1096-8644(199811)107:3<273::AID-AJPA4>3.0.CO;2-1
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subjects Acrocephalosyndactylia
Adolescent
Anatomy, Comparative - methods
Animals
Anthropometry - methods
Bone and Bones - abnormalities
Bone and Bones - anatomy & histology
Cephalometry
EDMA
Female
Humans
landmark coordinate data
Macaca fascicularis
Male
Mathematics
Methodology
Models, Anatomic
Models, Biological
morphometrics
Physical anthropology
Sex Characteristics
title A simple method for visualization of influential landmarks when using euclidean distance matrix analysis
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