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

Authors

  • Theodore M. Cole III,

    Corresponding author
    1. Department of Basic Medical Science, School of Medicine, University of Missouri-Kansas City, Kansas City, Missouri
    • Department of Basic Medical Science, School of Medicine, University of Missouri-Kansas City, 2411 Holmes St., Kansas City, MO 64108.
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  • Joan T. Richtsmeier

    1. Department of Cell Biology & Anatomy, The Johns Hopkins University Schoolof Medicine, Baltimore, Maryland
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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. Am J Phys Anthropol 107:273–283, 1998. © 1998 Wiley-Liss, Inc.

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