ArticleEcology and evolution2018
ShapeRotator: An R tool for standardized rigid rotations of articulated three-dimensional structures with application for geometric morphometrics.
Article in Ecology and evolution, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
8 citing papers in PubMed.
- Reduced evolutionary constraint accompanies ongoing radiation in deep-sea anglerfishes.Nature ecology & evolution · 2025Article
- Small- to medium-sized mammals show greater morphological disparity in cervical than lumbar vertebrae across different terrestrial modes of locomotion.Ecology and evolution · 2024Article
- Ecological correlates of cranial evolution in the megaradiation of dipsadine snakes.BMC ecology and evolution · 2023Article
- MusMorph, a database of standardized mouse morphology data for morphometric meta-analyses.Scientific data · 2022Article
- Local Superimpositions Facilitate Morphometric Analysis of Complex Articulating Structures.Integrative and comparative biology · 2021Article
- The accelerating anuran: evolution of locomotor performance in cane toads (Proceedings. Biological sciences · 2020Article
- ShapeRotator: An R tool for standardized rigid rotations of articulated three-dimensional structures with application for geometric morphometrics.Ecology and evolution · 2018Article
- Phylogenetic conservatism in skulls and evolutionary lability in limbs - morphological evolution across an ancient frog radiation is shaped by diet, locomotion and burrowing.BMC evolutionary biology · 2017Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The quantification of complex morphological patterns typically involves comprehensive shape and size analyses, usually obtained by gathering morphological data from all the structures that capture the phenotypic diversity of an organism or object. Articulated structures are a critical component of overall phenotypic diversity, but data gathered from these structures are difficult to incorporate into modern analyses because of the complexities associated with jointly quantifying 3D shape in multiple structures. While there are existing methods for analyzing shape variation in articulated structures in two-dimensional (2D) space, these methods do not work in 3D, a rapidly growing area of capability and research. Here, we describe a simple geometric rigid rotation approach that removes the effect of random translation and rotation, enabling the morphological analysis of 3D articulated structures. Our method is based on Cartesian coordinates in 3D space, so it can be applied to any morphometric problem that also uses 3D coordinates (e.g., spherical harmonics). We demonstrate the method by applying it to a landmark-based dataset for analyzing shape variation using geometric morphometrics. We have developed an R tool (ShapeRotator) so that the method can be easily implemented in the commonly used R package
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.