• Jean-Pierre Dujardin
  • Contributors are listed within the document.

Features of “MOG” (“MOrfometria Geometrica”)

  • Data are coordinates in the FORMAT format (filename_format.txt) after using TET on a TPS file, obtained by either TPSdig or COO. COO is now able to perform itself the TET conversion into …_format.txt and into …_DB.txt at the end of the digitization session.
  • The main successive steps of Procrustes superimposition are visualized; different colors are given for different groups if the sample is a subdivided one.
  • Partial warps (PW) scores are computed based on total consensus (steps described in the file ‘last changes’, menu ‘version’) and saved in a file ‘filename_PW.txt’.
  • Relative warps (RW) scores are computed as Principal Components of PW scores, and saved in a file ‘filename_RW.txt’.
  • Possibility is given to assign colors according to groups (Button “SC” for Select Colors).
  • Relative landmarks displacements graphically visible as Procrustean coordinates (Button : “Mean Objects”), with the possibility of zooming (Button “ZOOM”).
  • The MOG module has recent features (Version 91, CLIC34) allowing to
    – perform Principal component analysis of residual coordinates (‘ALIGNED’ specimens), of Procrustes residuals (i.e. differences between residual coordinates and consensus coordinates) and Partial Warps (PW)
    – perform Discriminant Analysis on ‘Procrustes components’ (i.e. principal components of Procrustes residuals) and PW
    – enter external, unknown data for classification of unknown individuals if initial data were arranged into 2 or more groups; the classification is based on the shortest distance of each external individual to the average shape of each group and makes use of Procrustes and/or Mahalanobis distances (see the CLIC module information).
    plot and regress shape variables on size (menu “ALLOMETRY”) (Version 92, CLIC35)
  • The Mahalanobis classification uses as input the PW (or a few first RW) computed from initial groups plus ONE SINGLE external individual; at each Mahalanobis classification, the PW (and/or RW) are re-computed again… Also note that for the Mahalanobis classification, the discriminant model is computed between initial groups WITHOUT including the external individual (see BMC Research Note for further information).


  •   Procrustes Superimposition


  • CLIC package


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  • To Prof. J. Rohlf (USA), Dr. D. Slice (USA), Prof. N. Jaramillo (Colombia), Lic. H. Caro-Riano (Colombia), Dr. Nuananong Jirakanjanakit (Thailand), Dr. DD. Kassam (Japan)