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Momocs

Outline Analysis Using R

Bibliographic Data

ID23328494
AuthorsVincent Bonhomme (0000-0002-2742-6349, Institut des Sciences de l'Evolution de Montpellier), Sandrine Picq (0000-0003-1436-3307, Institut des Sciences de l'Evolution de Montpellier), Cédric Gaucherel (0000-0002-4521-8914, Instituts Français de Recherche à L'Étranger), Julien Claude (0000-0002-9267-1228, Institut des Sciences de l'Evolution de Montpellier)
Year2014
Volume56
Issue13
Publication date2014-01-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of Statistical Software (JOURNAL)
Journal identifiersISSN: 1548-7660 • E-ISSN: 1548-7660
PublisherFoundation for Open Access Statistic (PUBLISHER)
DOI10.18637/jss.v056.i13
OpenAlexW1908401022
LanguageEN
Citations received91
References cited13

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.

Data science · Morphometrics · Programming language · R package · Variation (astronomy) · Artificial Intelligence · Computer Science · Morphological variations and asymmetry

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Unique citing works91
Citations per year8,27
Citation span2015 - 2026 (12)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 81

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