Papers 2314
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#1Tiffany S. Slater (UCC: University College Cork)
#2Maria E. McNamara (UCC: University College Cork)H-Index: 12
Last.Kazumasa Wakamatsu (RMIT: RMIT University)H-Index: 62
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#1Léa Leuzinger (CONICET: National Scientific and Technical Research Council)H-Index: 1
#2Lionel CavinH-Index: 23
Last.Jean-Paul Billon-Bruyat (Jura Elektroapparate)H-Index: 12
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#1Jorge Villegas-Martín (Universidade do Vale do Rio dos Sinos)H-Index: 3
#2Daiane Ceolin (Universidade do Vale do Rio dos Sinos)H-Index: 2
Last.Adiël A. Klompmaker (University of California, Berkeley)H-Index: 7
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#1Frances S. Dunn (BGS: British Geological Survey)H-Index: 2
#2Frances S. Dunn (BGS: British Geological Survey)
Last.James G. GehlingH-Index: 22
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This work was funded by the Natural Environment Research Council (GW4 DTP Studentship NE/L002434/1 to FSD, and Independent Research Fellowship NE/L011409/2 to AGL), and an Australian Research Council Discovery Grant (DP0453393) to JGG.
#1Oscar E. R. Lehmann (CONICET: National Scientific and Technical Research Council)
#2Martín D. EzcurraH-Index: 23
Last.Graeme T. Lloyd (University of Leeds)H-Index: 21
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The Generalized Euclidean Distance (GED) measure has been extensively used to conduct morphological disparity analyses based on palaeontological matrices of discrete characters. This is in part because some implementations allow the use of morphological matrices with high percentages of missing data without needing to prune taxa for a subsequent ordination of the data set. Previous studies have suggested that this way of using the GED may generate a bias in the resulting morphospace, but a detai...
#1Morgane Oudot (CNRS: Centre national de la recherche scientifique)H-Index: 1
#2Pascal Neige (CNRS: Centre national de la recherche scientifique)H-Index: 4
Last.Catherine Crônier (Lille University of Science and Technology)H-Index: 11
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