Application of landmark morphometrics to skulls representing the orders of living mammals
By L. Marcus, E. Hingst-Zaher, H. Zaher. 2000
145 citations recorded by the source corpus.
Subfields: Anthropology, Geometry and Topology, Paleontology
View Paper: https://www.semanticscholar.org/paper/0ce51cb02fcd53304595dac2b95305e89dcc7de9
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Anthropology
In Geometry and Topology
- P. Gunz
- P. Mitteroecker
- C. Klingenberg
- F. James Rohlf
- Sonja Windhager
- Katrin Schaefer
- Dean C. Adams
- Dean C. Adams
In Paleontology
- P. Mitteroecker
- P. Gunz
- C. Klingenberg
- F. James Rohlf
- Sonja Windhager
- Katrin Schaefer
- Dean C. Adams
- Liam J. Revell
Citations in the corpus
- The Concept of Morphospaces in Evolutionary and Developmental Biology: Mathematics and Metaphors (2009, background): “In an analysis of cranial shape, Marcus et al. (2000) demonstrated that this linear approximation provides a good representation of shape variation for a wide range of different mammalian taxa.”
- The tps series of software (2015, methodology): “The TPSPLINE and TPSRW programs were available by the time of the 1991 morphometrics workshop in Valsain, Spain, Marcus et al. (1993).”
- Analyzing Fluctuating Asymmetry with Geometric Morphometrics: Concepts, Methods, and Applications (2015, background): “for the tangent approximation to be remarkably exact [212].”
- Evolution and development of shape: integrating quantitative approaches (2010, background): “An increasing number of studies have investigated shape variation at large scale”
- Visualizations in geometric morphometrics: How to read and how to make graphs showing shape changes (2013, methodology): “For limited ranges of shape variation, as they are usually used in biological studies even at large taxonomic scale, this approximation tends to be very good (e.g. Marcus et al. 2000).”
- Advances in Geometric Morphometrics (2009, background): “Because variation in biological shape is relatively small even when observed across a wide range of different taxa, it is possible to make a good linear approximation to the non-linear shape space (Rohlf 1999; Marcus et al. 2000).”
- Novelty and “Homology-free” Morphometrics: What’s in a Name? (2008, background): “In the vast majority of biological data sets, the range of shape variation is small enough for the tangent space to be a good approximation of the shape space, even for large-scale comparisons (e.g., skull shape variation in mammals Marcus et al. 2000 ).”
- A brief review of shape, form, and allometry in geometric morphometrics, with applications to human facial morphology (2013, background): “Marcus et al. (2000) showed that the Euclidean approximation of shape space is appropriate for most biological data sets.”