1983
DOI: 10.1007/bf01033230
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Eigenshape analysis of microfossils: A general morphometric procedure for describing changes in shape

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Cited by 207 publications
(141 citation statements)
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“…Examples of methods for this include Fourier analyses [275][276][277], eigenshape analysis [278][279][280], semilandmarks [202,205,281,282], and a variety of methods of superimposing 3D surfaces to an overall best fit [104,203,204,283,284]. Note that, even though some authors have claimed that such methods are "homology-free" [285], all these approaches are based in one way or another on a one-to-one correspondence of points on the outline or surface, which is the basis for the computations of mutual fit or difference between shapes [286].…”
Section: Outline Methodsmentioning
confidence: 99%
“…Examples of methods for this include Fourier analyses [275][276][277], eigenshape analysis [278][279][280], semilandmarks [202,205,281,282], and a variety of methods of superimposing 3D surfaces to an overall best fit [104,203,204,283,284]. Note that, even though some authors have claimed that such methods are "homology-free" [285], all these approaches are based in one way or another on a one-to-one correspondence of points on the outline or surface, which is the basis for the computations of mutual fit or difference between shapes [286].…”
Section: Outline Methodsmentioning
confidence: 99%
“…Landmarks allow to study shape variations via a configuration of clearly defined homologous points in 2D or 3D space (Bookstein, 1996;Webster and Sheets, 2010). Outline-based morphometric analyses, on the other hand, deal with open or closed curves or curve segments and largely neglect information from homologous points (Kuhl and Girdina, 1982;Lohmann, 1983;Haines and Crampton, 2000;Sheets et al, 2006). The majority of morphometric analyses of ostracods has 10 focused on outline methods (e.g., Danielopol et al, 2008;Tanaka, 2009;Namiotko et al, 2012;Gitter et al, 2015) mainly because of lacking homologous points in most non-marine taxa (Baltanas et al, 2002).…”
Section: Generalized Procrustes Analysismentioning
confidence: 99%
“…Eigenshape analysis is a technique used for the reduction of digitized outline shapes into few parameters for multivariate analysis and visualization of shape variation (Lohman 1983, Ray 1992 Principal Components Analysis was performed in PAST ver. 2.02 (Hammer et al 2001) on covariance matrix of transformed coordinates using the Zahn-Roskies tangent function (Zahn & Roskies 1972).…”
Section: Data Acquisition and Sporangia Shape Analysismentioning
confidence: 99%