Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12136/2076
Item metadata
Full metadata record
DC FieldValueLanguage
dc.contributor.authorBruner, Emiliano-
dc.contributor.authorGómez-Robles, Aida-
dc.date.accessioned2020-09-
dc.date.accessioned2020-09-17T18:02:02Z-
dc.date.issued2009-
dc.identifier.citationI Iberian Symposium on Geometric Morphometrics, 2009, p. 35es_ES
dc.identifier.isbn978-84-613-3650-0-
dc.identifier.urihttp://hdl.handle.net/20.500.12136/2076-
dc.descriptionComunicación presentada en: I Iberian Symposium on Geometric Morphometrics, 23-25 de julio 2009, Sabadell (Barcelona)es_ES
dc.description.abstractOne of the main aims of morphometrics is the quantification of differences among biological structures. Many tools (in particular considering geometric morphometrics) have been developed to visualise the results of such quantification, images being the most effective summary for a species with a visual-based system of perception such as humans. The degree of variation of the morphological components is a direct product of at least two different factors: the selective pressure, and the biogical constraints. This is identifiable at different levels, from the systematic (species diversity, species variability) to the individual or anatomical (intraspecific variation or variation of single traits). In this paper, we present a simple and effective approach to map the degree of variation by using landmark superimposition, providing a comparison between different species. The case study is the morphology of the dental occlusal surface, compared between modern and extinct human species. Different parameters of distribution of the coordinates after Procrustes superimposition are used to quantify the degree of variation at each landmark according to a common reference (the overall sample variability), and interpolant functions are then used to provide a general synthesis of the distribution of the values. This approach provides a visual representation of the spatial distribution of the variance within the geometric model. Thus, it entails a rapid and complete perspective of the patterns associated with the de-gree of variation in a given anatomical element. Such visual output may be useful as an interface between the analytical steps (inferential and de-scriptive multivariate statistics) and the following interpretation of results.es_ES
dc.language.isoenes_ES
dc.publisherInstitut Català de Paleontologiaes_ES
dc.relation.ispartofseriesPaleontologia i evolució. Memòria especial;3-
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.titleA visual approach to mapping and comparing the distribution of variation through geometrical modelses_ES
dc.typePresentationes_ES
dc.typeOtheres_ES
dc.date.available2020-09-17T18:02:02Z-
Appears in Collections:Congresos, encuentros científicos y estancias de investigación

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.