Momocs: Outline Analysis Using R

By V. Bonhomme, S. Picq, Cédric Gaucherel, Julien Claude. 2014

649 citations recorded by the source corpus.

We introduce here Momocs, a package intended to ease and popularize modern morphometrics with R, and particularly outline analysis, which aims to extract quantitative variables from shapes. It mostly hinges on the functions published in the book entitled Modern Morphometrics Using R by Claude (2008). From outline extraction from raw data to multivariate analysis, Momocs provides an integrated and convenient toolkit to students and researchers who are, or may become, interested in describing the shape and its variation. The methods implemented so far in Momocs are introduced through a simplistic case study that aims to test if two sets of bottles have different shapes.

Subfields: Geometry and Topology

View Paper: https://www.semanticscholar.org/paper/64dae72a4a1d2759b06b8bcab230774880ee76c5

How researchers see this paper

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In Geometry and Topology

1. Kazuo H. Takahashi
2. H. Tatsuta
3. S. Picq
4. Y. Sakamaki

Citations in the corpus

• Inferring the agrobiodiversity of Vitis vinifera L. (grapevine) in ancient Greece by comparative shape analysis of archaeological and modern seeds (2014, positive): “13 (R Development core team 2011) using the Momocs package (Bonhomme et al. 2014).”
• Geometric morphometrics in entomology: Basics and applications (2018, methodology): “The relative warp analysis refers to the principal component analysis (PCA) of the partial warp scores for a set of n specimens when a weighting scalar α is set to 0 (Loy 2007).”