Outline shape analysis of penguin humeri: a robust approach to taxonomic classification

Humeri have been useful bones in taxonomic determinations of extinct penguins. In the context of neontological taxonomic studies, however, their potential remains unsatisfactorily explored. Here, the variation of the overall closed-outline shape of 60 humeri, assignable to five genera of extant peng...

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Published in:Polar Research
Main Author: Piotr Jadwiszczak
Format: Article in Journal/Newspaper
Language:English
Published: Norwegian Polar Institute 2020
Subjects:
Online Access:https://doi.org/10.33265/polar.v39.4370
https://doaj.org/article/ad8d2089cc374d3abd9b6d22096f0764
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spelling fttriple:oai:gotriple.eu:oai:doaj.org/article:ad8d2089cc374d3abd9b6d22096f0764 2023-05-15T18:02:39+02:00 Outline shape analysis of penguin humeri: a robust approach to taxonomic classification Piotr Jadwiszczak 2020-06-01 https://doi.org/10.33265/polar.v39.4370 https://doaj.org/article/ad8d2089cc374d3abd9b6d22096f0764 en eng Norwegian Polar Institute 0800-0395 1751-8369 doi:10.33265/polar.v39.4370 https://doaj.org/article/ad8d2089cc374d3abd9b6d22096f0764 undefined Polar Research, Vol 39, Iss 0, Pp 1-7 (2020) extant sphenisciformes genus-level systematics elliptical fourier harmonics multivariate ordination archeo envir Journal Article https://vocabularies.coar-repositories.org/resource_types/c_6501/ 2020 fttriple https://doi.org/10.33265/polar.v39.4370 2023-01-22T17:08:12Z Humeri have been useful bones in taxonomic determinations of extinct penguins. In the context of neontological taxonomic studies, however, their potential remains unsatisfactorily explored. Here, the variation of the overall closed-outline shape of 60 humeri, assignable to five genera of extant penguins, was investigated. A set of normalized outlines was quantified via elliptical Fourier analysis and subjected to linear discriminant analysis on principal component scores extracted from harmonic coefficients. These geometric representations proved to be a source of easily extractable genus-level taxonomic information. The constructed model provided meaningful discrimination between taxa: the first two linear discriminants captured almost 90% of between-group variance. A cross-validation method based on jackknifing yielded 93% correct identifications, and statistically significant differences between group centroids were also detected (multivariate analysis of variance, p < 0.05). Predictions of genus membership for the intentionally noisy test data (20 outlines) were accurate in 80% of cases. Article in Journal/Newspaper Polar Research Unknown Polar Research 39 0
institution Open Polar
collection Unknown
op_collection_id fttriple
language English
topic extant sphenisciformes
genus-level systematics
elliptical fourier harmonics
multivariate ordination
archeo
envir
spellingShingle extant sphenisciformes
genus-level systematics
elliptical fourier harmonics
multivariate ordination
archeo
envir
Piotr Jadwiszczak
Outline shape analysis of penguin humeri: a robust approach to taxonomic classification
topic_facet extant sphenisciformes
genus-level systematics
elliptical fourier harmonics
multivariate ordination
archeo
envir
description Humeri have been useful bones in taxonomic determinations of extinct penguins. In the context of neontological taxonomic studies, however, their potential remains unsatisfactorily explored. Here, the variation of the overall closed-outline shape of 60 humeri, assignable to five genera of extant penguins, was investigated. A set of normalized outlines was quantified via elliptical Fourier analysis and subjected to linear discriminant analysis on principal component scores extracted from harmonic coefficients. These geometric representations proved to be a source of easily extractable genus-level taxonomic information. The constructed model provided meaningful discrimination between taxa: the first two linear discriminants captured almost 90% of between-group variance. A cross-validation method based on jackknifing yielded 93% correct identifications, and statistically significant differences between group centroids were also detected (multivariate analysis of variance, p < 0.05). Predictions of genus membership for the intentionally noisy test data (20 outlines) were accurate in 80% of cases.
format Article in Journal/Newspaper
author Piotr Jadwiszczak
author_facet Piotr Jadwiszczak
author_sort Piotr Jadwiszczak
title Outline shape analysis of penguin humeri: a robust approach to taxonomic classification
title_short Outline shape analysis of penguin humeri: a robust approach to taxonomic classification
title_full Outline shape analysis of penguin humeri: a robust approach to taxonomic classification
title_fullStr Outline shape analysis of penguin humeri: a robust approach to taxonomic classification
title_full_unstemmed Outline shape analysis of penguin humeri: a robust approach to taxonomic classification
title_sort outline shape analysis of penguin humeri: a robust approach to taxonomic classification
publisher Norwegian Polar Institute
publishDate 2020
url https://doi.org/10.33265/polar.v39.4370
https://doaj.org/article/ad8d2089cc374d3abd9b6d22096f0764
genre Polar Research
genre_facet Polar Research
op_source Polar Research, Vol 39, Iss 0, Pp 1-7 (2020)
op_relation 0800-0395
1751-8369
doi:10.33265/polar.v39.4370
https://doaj.org/article/ad8d2089cc374d3abd9b6d22096f0764
op_rights undefined
op_doi https://doi.org/10.33265/polar.v39.4370
container_title Polar Research
container_volume 39
container_issue 0
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