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Shall we all adopt, with no worries, the ‘within a configuration’ approach in geometric morphometrics? A comment on claims that the effect of the superimposition and sliding on shape data is “not an obstacle to analyses of integration and modularity”

https://doi.org/10.32942/x2002c

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/ece3.5507openalex-snapshot

Quantifying shape and ecology in avian pedal claws: The relationship between the bony core and keratinous sheath

inferredcites →https://doi.org/10.1007/0-387-27614-9_3openalex-snapshot

Semilandmarks in Three Dimensions

inferredcites →https://doi.org/10.1007/s00435-020-00499-wopenalex-snapshot

Less tautology, more biology? A comment on “high-density” morphometrics

inferredcites →https://doi.org/10.1007/s11692-017-9424-9openalex-snapshot

A Newly Noticed Formula Enforces Fundamental Limits on Geometric Morphometric Analyses

inferredcites →https://doi.org/10.1007/s11692-017-9442-7openalex-snapshot

Swimmers, Diggers, Climbers and More, a Study of Integration Across the Mustelids’ Locomotor Apparatus (Carnivora: Mustelidae)

inferredcites →https://doi.org/10.1007/s11692-018-9463-xopenalex-snapshot

Integration and Modularity in Procrustes Shape Data: Is There a Risk of Spurious Results?

inferredcites →https://doi.org/10.1007/s11692-019-09487-5openalex-snapshot

Seeing Distinct Groups Where There are None: Spurious Patterns from Between-Group PCA

inferredcites →https://doi.org/10.1007/s11692-020-09518-6openalex-snapshot

Why Clusters and Other Patterns Can Seem to be Found in Analyses of High-Dimensional Data

inferredcites →https://doi.org/10.1007/s11692-020-09520-yopenalex-snapshot

How Exactly Did the Nose Get That Long? A Critical Rethinking of the Pinocchio Effect and How Shape Changes Relate to Landmarks

inferredcites →https://doi.org/10.1007/s11692-021-09531-3openalex-snapshot

On the Misidentification of Species: Sampling Error in Primates and Other Mammals Using Geometric Morphometrics in More Than 4000 Individuals

inferredcites →https://doi.org/10.1007/s11692-023-09600-9openalex-snapshot

Effects of Procrustes Superimposition and Semilandmark Sliding on Modularity and Integration: An Investigation Using Simulations of Biological Data

inferredcites →https://doi.org/10.1016/0169-5347(93)90024-jopenalex-snapshot

A revolution morphometrics

inferredcites →https://doi.org/10.1038/s41559-022-01933-6openalex-snapshot

Homo sapiens and Neanderthals share high cerebral cortex integration into adulthood

inferredcites →https://doi.org/10.1073/pnas.1716437115openalex-snapshot

Developmental origins of mosaic evolution in the avian cranium

inferredcites →https://doi.org/10.1073/pnas.2101330118openalex-snapshot

Integration drives rapid phenotypic evolution in flatfishes

inferredcites →https://doi.org/10.1080/106351500750049806openalex-snapshot

Use of Two-Block Partial Least-Squares to Study Covariation in Shape

inferredcites →https://doi.org/10.1080/106351598261094openalex-snapshot

On Applications of Geometric Morphometrics to Studies of Ontogeny and Phylogeny

inferredcites →https://doi.org/10.1080/106351598261102openalex-snapshot

On Applications of Geometric Morphometrics to Studies of Ontogeny and Phylogeny: A Reply to Rohlf

inferredcites →https://doi.org/10.1093/evolut/qpad020openalex-snapshot

Multilevel analysis of integration and disparity in the mammalian skull

inferredcites →https://doi.org/10.1093/icb/icab031openalex-snapshot

Local Superimpositions Facilitate Morphometric Analysis of Complex Articulating Structures

inferredcites →https://doi.org/10.1093/icb/icz120openalex-snapshot

High-Density Morphometric Analysis of Shape and Integration: The Good, the Bad, and the Not-Really-a-Problem

inferredcites →https://doi.org/10.1093/iob/obz016openalex-snapshot

A Practical Guide to Sliding and Surface Semilandmarks in Morphometric Analyses

inferredcites →https://doi.org/10.1093/sysbio/sys080openalex-snapshot

Shape Variation in Outline Shapes

inferredcites →https://doi.org/10.1098/rspb.2020.2938openalex-snapshot

Three-dimensional geometric morphometric analysis of the skull of Protoceratops andrewsi supports a socio-sexual signalling role for the ceratopsian frill

inferredcites →https://doi.org/10.1109/34.24792openalex-snapshot

Principal warps: thin-plate splines and the decomposition of deformations

inferredcites →https://doi.org/10.1111/2041-210x.12035openalex-snapshot

geomorph: an r package for the collection and analysis of geometric morphometric shape data

inferredcites →https://doi.org/10.1111/2041-210x.12511openalex-snapshot

Evaluating modularity in morphometric data: challenges with the RV coefficient and a new test measure

inferredcites →https://doi.org/10.1111/evo.13422openalex-snapshot

Trait‐specific processes of convergence and conservatism shape ecomorphological evolution in ground‐dwelling squirrels

inferredcites →https://doi.org/10.1111/evo.13835openalex-snapshot

Be careful with your principal components

inferredcites →https://doi.org/10.1111/j.1469-7580.2006.00576.xopenalex-snapshot

Differences between sliding semi‐landmark methods in geometric morphometrics, with an application to human craniofacial and dental variation

inferredcites →https://doi.org/10.1186/s12862-018-1342-7openalex-snapshot

Morphological evolution and modularity of the caecilian skull

inferredcites →https://doi.org/10.1186/s12862-021-01907-5openalex-snapshot

Cranial shape diversification in horses: variation and covariation patterns under the impact of artificial selection

inferredcites →https://doi.org/10.4404/hystrix-24.1-6292openalex-snapshot

Semilandmarks: a method for quantifying curves and surfaces

inferredcites →https://doi.org/10.7554/elife.68809openalex-snapshot

Novel neuroanatomical integration and scaling define avian brain shape evolution and development

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.5852/ejt.2024.934.2529zenodo-depositor-declared

A practical, step-by-step, guide to taxonomic comparisons using Procrustes geometric morphometrics and user-friendly software (part B): group comparisons

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