TY - JOUR
T1 - Seeing the wood through the trees. Combining shape information from different landmark configurations
AU - Profico, Antonio
AU - Piras, Paolo
AU - Buzi, Costantino
AU - Del Bove, Antonietta
AU - Melchionna, Marina
AU - Senczuk, Gabriele
AU - Varano, Valerio
AU - Veneziano, Alessio
AU - Raia, Pasquale
AU - Manzi, Giorgio
N1 - © 2018, Associazione Teriologica Italiana
PY - 2019/11/27
Y1 - 2019/11/27
N2 - The geometric morphometric (GM) analysis of complex anatomical structures is an ever more powerful tool to study biological variability, adaptation and evolution. Here, we propose a new method (combinland), developed in R, meant to combine the morphological information contained in different landmark coordinate sets into a single dataset, under a GM context. combinland builds a common ordination space taking into account the entire shape information encoded in the starting configurations. We applied combinland to a Primate case study including 133 skulls belonging to 14 species. On each specimen, we simulated photo acquisitions converting the 3D landmark sets into six 2D configurations along standard anatomical views. The application of combinland shows statistically negligible differences in the ordination space compared to that of the original 3D objects, in contrast to a previous method meant to address the same issue. Hence, we argue combinland allows to correctly retrieve 3D-quality statistical information from 2D landmark configurations. This makes combinland a viable alternative when the extraction of 3D models is not possible, recommended, or too expensive, and to make full use of disparate sources (and views) of morphological information regarding the same specimens. The code and examples for the application of combinland are available in the Arothron R package.
AB - The geometric morphometric (GM) analysis of complex anatomical structures is an ever more powerful tool to study biological variability, adaptation and evolution. Here, we propose a new method (combinland), developed in R, meant to combine the morphological information contained in different landmark coordinate sets into a single dataset, under a GM context. combinland builds a common ordination space taking into account the entire shape information encoded in the starting configurations. We applied combinland to a Primate case study including 133 skulls belonging to 14 species. On each specimen, we simulated photo acquisitions converting the 3D landmark sets into six 2D configurations along standard anatomical views. The application of combinland shows statistically negligible differences in the ordination space compared to that of the original 3D objects, in contrast to a previous method meant to address the same issue. Hence, we argue combinland allows to correctly retrieve 3D-quality statistical information from 2D landmark configurations. This makes combinland a viable alternative when the extraction of 3D models is not possible, recommended, or too expensive, and to make full use of disparate sources (and views) of morphological information regarding the same specimens. The code and examples for the application of combinland are available in the Arothron R package.
KW - 2D images
KW - Combinland
KW - Geometric morphometrics
KW - Morphology
KW - Primates
KW - Skull
UR - http://www.scopus.com/inward/record.url?scp=85079494976&partnerID=8YFLogxK
U2 - 10.4404/hystrix-00206-2019
DO - 10.4404/hystrix-00206-2019
M3 - Article
AN - SCOPUS:85079494976
SN - 0394-1914
VL - 30
SP - 157
EP - 165
JO - Hystrix
JF - Hystrix
IS - 2
ER -