Morphometrics with R

By Julien Claude Morphometrics. 2009

414 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/9148697375327e10cedf4e01a7e62b4b099bf905

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In Geometry and Topology

Citations in the corpus

Momocs: Outline Analysis Using R (2014, methodology): “The following sections detail the core functions of Momocs , and an extensive description can be found in Rohlf and Archie (1984) and Claude (2008).”
geomorph: an r package for the collection and analysis of geometric morphometric shape data (2013, methodology): “Geomorph extends the capabilities of landmark-based shape analysis in R over prior packages and routines (e.g. the ‘shapes’ package: Dryden 2012 and Morphometrics With R : Claude 2008), by incorporating both semilandmark methods and the digitization of specimens directly within R .”
MorphoJ: an integrated software package for geometric morphometrics (2011, methodology): “Morphometrics software is currently available as stand-alone packages with graphical user interfaces or as packages of routines for programming environments such as Matlab or R (Claude 2008).”
Combining Geometric Morphometrics and Finite Element Analysis with Evolutionary Modeling: Towards a Synthesis (2016, methodology): “Several book-length introductions to methods and theory are also available (Dryden and Mardia, 1998; Claude, 2008; Weber and Bookstein, 2011; Zelditch et al., 2004, 2012).”
Protocols for field and laboratory rodent studies (2011, methodology): “Point coordinates are then submitted to statistical shape analysis using methods available in the literature (Claude, 2008; Dryden and Mardia, 1998) and a variety of freely available software (See http://life.bio.sunysb.edu/morph/).”
Looking forward through the past: identification of 50 priority research questions in palaeoecology (2014, positive): “New identi ﬁ cation and counting systems (Holt et al. 2011; Punyasena et al. 2012) and multi-variate morphometric techniques (Claude 2008) [Q47] have the potential to investigate morphological variability observed in the fossil record in detail.”
Geometric morphometrics in entomology: Basics and applications (2018, methodology): “D curves (Lestrel 1997; Claude 2008).”
Visualizations in geometric morphometrics: How to read and how to make graphs showing shape changes (2013, background): “This type of presentation of data is rather popular, both in textbooks (Dryden and Mardia, 1998; Monteiro and dos Reis, 1999; Claude, 2008; Weber and Bookstein, 2011; Zelditch et al., 2012) and in research papers (e.g. Bookstein et al. 1999; Robinson et al. 2001; Dworkin and Gibson 2006; Bruner et…”
Insights into the historical biogeography of the date palm (Phoenix dactylifera L.) using geometric morphometry of modern and ancient seeds (2012, background): “They were expressed as the coefficient of variation (standard deviation) of the harmonic amplitude (Renaud & Millien, 2001; Claude, 2008).”