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Technical note

A novel geometric morphometric approach to the study of long bone shape variation

Bibliographic Data

ID8319937
AuthorsMélanie A Frelat (Centre National de la Recherche Scientifique, corresponding author), Stanislav Katina (0000-0002-3256-5482, Masaryk University), Gerhard W Weber (0000-0002-8542-6259, University of Vienna), Fred L Bookstein (0000-0003-2716-8471, University of Vienna)
Year2012
Volume149
Issue4
Pages628-638
Publication date2012-12-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueAmerican Journal of Physical Anthropology (JOURNAL)
Journal identifiersISSN: 0002-9483 • E-ISSN: 1096-8644
PublisherWiley (PUBLISHER • GB)
DOI10.1002/ajpa.22177
PMID23124572
OpenAlexW1969796211
LanguageEN
Citations received5
References cited73

Procrustes‐based geometric morphometrics (GM) is most often applied to problems of craniofacial shape variation. Here, we demonstrate a novel application of GM to the analysis of whole postcranial elements in a study of 77 hominoid tibiae. We focus on two novel methodological improvements to standard GM approaches: 1) landmark configurations of tibiae including 15 epiphyseal landmarks and 483 semilandmarks along articular surfaces and muscle insertions along the tibial shaft and 2) an artificial affine transformation that sets moments along the shaft equal to the sum of the moments estimated in the other two anatomical directions. Diagrams of the principal components of tibial shapes support most differences between human and non‐human primates reported previously. The artificial affine transformation proposed here results in an improved clustering of the great apes that may prove useful in future discriminant or clustering studies. Since the shape variations observed may be related to different locomotor behaviors, posture, or activity patterns, we suggest that this method be used in functional analyses of tibiae or other long bones in modern populations or fossil specimens. Am J Phys Anthropol, 2012. © 2012 Wiley Periodicals, Inc

Affine transformation · Biology · Cluster analysis · Evolutionary biology · Geometry · Landmark · Morphometrics · Pattern recognition (psychology) · Postcrania · Principal component analysis · Transformation (genetics) · Variation (astronomy) · Zoology · Artificial Intelligence · Computer Science · Evolution and Paleontology Studies · Mathematics · Morphological variations and asymmetry · Paleontology · Pleistocene-Era Hominins and Archaeology

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Unique citing works5
Citations per year0,5
Citation span2016 - 2024 (9)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 4

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