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

Theodore M. Cole, Joan T. Richtsmeier

Research output: Contribution to journalArticle

19 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)273-283
Number of pages11
JournalAmerican Journal of Physical Anthropology
Volume107
Issue number3
DOIs
StatePublished - Nov 1 1998

All Science Journal Classification (ASJC) codes

  • Anatomy
  • Anthropology

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