Visualizations in geometric morphometrics: How to read and how to make graphs showing shape changes
By C. Klingenberg. 2013
317 citations recorded by the source corpus.
Subfields: Experimental and Cognitive Psychology, Geometry and Topology
View Paper: https://www.semanticscholar.org/paper/524b9605e64582ad339e7d485c6d3270394a2f50
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Experimental and Cognitive Psychology
In Geometry and Topology
- C. Klingenberg
- F. James Rohlf
- P. D. Polly
- Liam J. Revell
- Dean C. Adams
- P. Mitteroecker
- P. Gunz
- Dean C. Adams
Citations in the corpus
- Combining Geometric Morphometrics and Finite Element Analysis with Evolutionary Modeling: Towards a Synthesis (2016, unknown): “…1996a; 1998; Adams et al., 2004; Slice, 2005), associated analytical methodologies (Rohlf and Marcus, 1993; O’Higgins, 2000; Mitteroecker and Gunz, 2009; Klingenberg, 2013; Bookstein, 2014), and practical applications (Slice, 2007; Klingenberg, 2010; Lawing and Polly, 2010; Adams et al., 2013).”
- The tps series of software (2015, methodology): “However, these transformed grids represent the actual differences in the location of landmarks rather than intuitive sketches, Klingenberg (2013). The GRF software of Rohlf and Slice (1991) was available at the time of the morphometrics workshop at the University of Michigan, Rohlf and Bookstein (19”
- Analyzing Fluctuating Asymmetry with Geometric Morphometrics: Concepts, Methods, and Applications (2015, background): “Yet, because 2D images are cheaper and quicker to collect than 3D morphometric data [320] and because the results from analyses of 2D data are easier to visualize [196], many morphometric studies continue to use 2D data for 3D structures.”