Data from: Incomplete specimens in geometric morphometric analyses
1.The analysis of morphological diversity frequently relies on the use of multivariate methods for characterizing biological shape. However, many of these methods are intolerant of missing data, which can limit the use of rare taxa and hinder the study of broad patterns of ecological diversity and m...
Main Authors: | , |
---|---|
Format: | Dataset |
Language: | unknown |
Published: |
2014
|
Subjects: | |
Online Access: | https://doi.org/10.5061/dryad.mp713 |
id |
fttriple:oai:gotriple.eu:50|dedup_wf_001::aad317b4ca966b316905feb0aecac645 |
---|---|
record_format |
openpolar |
spelling |
fttriple:oai:gotriple.eu:50|dedup_wf_001::aad317b4ca966b316905feb0aecac645 2023-05-15T18:10:08+02:00 Data from: Incomplete specimens in geometric morphometric analyses Arbour, Jessica H. Brown, Caleb M. 2014-10-11 https://doi.org/10.5061/dryad.mp713 undefined unknown http://dx.doi.org/10.5061/dryad.mp713 https://dx.doi.org/10.5061/dryad.mp713 lic_creative-commons oai:services.nod.dans.knaw.nl:Products/dans:oai:easy.dans.knaw.nl:easy-dataset:84602 oai:easy.dans.knaw.nl:easy-dataset:84602 10.5061/dryad.mp713 10|eurocrisdris::fe4903425d9040f680d8610d9079ea14 10|re3data_____::84e123776089ce3c7a33db98d9cd15a8 10|openaire____::9e3be59865b2c1c335d32dae2fe7b254 re3data_____::r3d100000044 10|re3data_____::94816e6421eeb072e7742ce6a9decc5f 10|openaire____::081b82f96300b6a6e3d282bad31cb6e2 Life sciences medicine and health care body shape Guianacara dacrya Fish Salvelinus alpinus Geometric morphometrics missing data archeo envir Dataset https://vocabularies.coar-repositories.org/resource_types/c_ddb1/ 2014 fttriple https://doi.org/10.5061/dryad.mp713 2023-01-22T17:41:46Z 1.The analysis of morphological diversity frequently relies on the use of multivariate methods for characterizing biological shape. However, many of these methods are intolerant of missing data, which can limit the use of rare taxa and hinder the study of broad patterns of ecological diversity and morphological evolution. This study applied a mutli-dataset approach to compare variation in missing data estimation and its effect on geometric morphometric analysis across taxonomically-variable groups, landmark position and sample sizes. 2.Missing morphometric landmark data was simulated from five real, complete datasets, including modern fish, primates and extinct theropod dinosaurs. Missing landmarks were then estimated using several standard approaches and a geometric-morphometric-specific method. The accuracy of missing data estimation was determined for each estimation method, landmark position, and morphological dataset. Procrustes superimposition was used to compare the eigenvectors and principal component scores of a geometric morphometric analysis of the original landmark data, to datasets with A) missing values estimated, or B) simulated incomplete specimens excluded, for varying levels of specimens incompleteness and sample sizes. 3.Standard estimation techniques were more reliable estimators and had lower impacts on morphometric analysis compared to a geometric-morphometric-specific estimator. For most datasets and estimation techniques, estimating missing data produced a better fit to the structure of the original data than exclusion of incomplete specimens, and this was maintained even at considerably reduced sample sizes. The impact of missing data on geometric morphometric analysis was disproportionately affected by the most fragmentary specimens. 4.Missing data estimation was influenced by variability of specific anatomical features, and may be improved by a better understanding of shape variation present in a dataset. Our results suggest that the inclusion of incomplete specimens through the use of ... Dataset Salvelinus alpinus Unknown |
institution |
Open Polar |
collection |
Unknown |
op_collection_id |
fttriple |
language |
unknown |
topic |
Life sciences medicine and health care body shape Guianacara dacrya Fish Salvelinus alpinus Geometric morphometrics missing data archeo envir |
spellingShingle |
Life sciences medicine and health care body shape Guianacara dacrya Fish Salvelinus alpinus Geometric morphometrics missing data archeo envir Arbour, Jessica H. Brown, Caleb M. Data from: Incomplete specimens in geometric morphometric analyses |
topic_facet |
Life sciences medicine and health care body shape Guianacara dacrya Fish Salvelinus alpinus Geometric morphometrics missing data archeo envir |
description |
1.The analysis of morphological diversity frequently relies on the use of multivariate methods for characterizing biological shape. However, many of these methods are intolerant of missing data, which can limit the use of rare taxa and hinder the study of broad patterns of ecological diversity and morphological evolution. This study applied a mutli-dataset approach to compare variation in missing data estimation and its effect on geometric morphometric analysis across taxonomically-variable groups, landmark position and sample sizes. 2.Missing morphometric landmark data was simulated from five real, complete datasets, including modern fish, primates and extinct theropod dinosaurs. Missing landmarks were then estimated using several standard approaches and a geometric-morphometric-specific method. The accuracy of missing data estimation was determined for each estimation method, landmark position, and morphological dataset. Procrustes superimposition was used to compare the eigenvectors and principal component scores of a geometric morphometric analysis of the original landmark data, to datasets with A) missing values estimated, or B) simulated incomplete specimens excluded, for varying levels of specimens incompleteness and sample sizes. 3.Standard estimation techniques were more reliable estimators and had lower impacts on morphometric analysis compared to a geometric-morphometric-specific estimator. For most datasets and estimation techniques, estimating missing data produced a better fit to the structure of the original data than exclusion of incomplete specimens, and this was maintained even at considerably reduced sample sizes. The impact of missing data on geometric morphometric analysis was disproportionately affected by the most fragmentary specimens. 4.Missing data estimation was influenced by variability of specific anatomical features, and may be improved by a better understanding of shape variation present in a dataset. Our results suggest that the inclusion of incomplete specimens through the use of ... |
format |
Dataset |
author |
Arbour, Jessica H. Brown, Caleb M. |
author_facet |
Arbour, Jessica H. Brown, Caleb M. |
author_sort |
Arbour, Jessica H. |
title |
Data from: Incomplete specimens in geometric morphometric analyses |
title_short |
Data from: Incomplete specimens in geometric morphometric analyses |
title_full |
Data from: Incomplete specimens in geometric morphometric analyses |
title_fullStr |
Data from: Incomplete specimens in geometric morphometric analyses |
title_full_unstemmed |
Data from: Incomplete specimens in geometric morphometric analyses |
title_sort |
data from: incomplete specimens in geometric morphometric analyses |
publishDate |
2014 |
url |
https://doi.org/10.5061/dryad.mp713 |
genre |
Salvelinus alpinus |
genre_facet |
Salvelinus alpinus |
op_source |
oai:services.nod.dans.knaw.nl:Products/dans:oai:easy.dans.knaw.nl:easy-dataset:84602 oai:easy.dans.knaw.nl:easy-dataset:84602 10.5061/dryad.mp713 10|eurocrisdris::fe4903425d9040f680d8610d9079ea14 10|re3data_____::84e123776089ce3c7a33db98d9cd15a8 10|openaire____::9e3be59865b2c1c335d32dae2fe7b254 re3data_____::r3d100000044 10|re3data_____::94816e6421eeb072e7742ce6a9decc5f 10|openaire____::081b82f96300b6a6e3d282bad31cb6e2 |
op_relation |
http://dx.doi.org/10.5061/dryad.mp713 https://dx.doi.org/10.5061/dryad.mp713 |
op_rights |
lic_creative-commons |
op_doi |
https://doi.org/10.5061/dryad.mp713 |
_version_ |
1766182907040235520 |