FRELAT, Melanie, Stanislav KATINA, G.W. WEBER and F.L. BOOKSTEIN. Technical note: A novel Geometric Morphometric approach to the study of long bone shape variation. American Journal of Physical Anthropology. US: Wiley, 2012, vol. 149, No 4, p. 628-638. ISSN 0002-9483. doi:10.1002/ajpa.22177.
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Basic information
Original name Technical note: A novel Geometric Morphometric approach to the study of long bone shape variation.
Authors FRELAT, Melanie (250 France), Stanislav KATINA (703 Slovakia, guarantor, belonging to the institution), G.W. WEBER (40 Austria) and F.L. BOOKSTEIN (840 United States of America).
Edition American Journal of Physical Anthropology, US, Wiley, 2012, 0002-9483.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 10103 Statistics and probability
Country of publisher United States of America
Confidentiality degree is not subject to a state or trade secret
Impact factor Impact factor: 2.481
RIV identification code RIV/00216224:14310/12:00063909
Organization unit Faculty of Science
UT WoS 000311237400017
Keywords in English tibia; hominoids; semilandmarks; artificial affine transformation; locomotion
Tags AKR, rivok
Tags International impact, Reviewed
Changed by Changed by: Ing. Andrea Mikešková, učo 137293. Changed: 11. 4. 2013 18:53.
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 149:628–638, 2012.
CZ.1.07/2.2.00/15.0203, interní kód MUName: Univerzitní výuka matematiky v měnícím se světě (Acronym: Univerzitní výuka matematiky)
Investor: Ministry of Education, Youth and Sports of the CR, 2.2 Higher education
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