The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
Use of Two-Block Partial Least-Squares to Study Covariation in Shape
Abstract
The relatively new two-block partial least-squares method for analyzing the covariance between two sets of variables is described and contrasted with the well-known method of canonical correlation analysis. Their statistical properties, type of answers, and visualization techniques are discussed. Examples are given to show its usefulness in comparing two sets of variables--especially when one or both of the sets of variables are shape variables from a geometric morphometric study.
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Cites
Principal warps: thin-plate splines and the decomposition of deformations
Bookstein, F. L. (1989) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.24792 · Cited by 4,913
Morphometric Tools for Landmark Data: Geometry and Biology
Bookstein, F. L. (1992) · Cambridge University Press eBooks · doi:10.1017/cbo9780511573064 · Cited by 4,365
Extensions of the procrustes method for the optimal superimposition of landmarks
Rohlf, F. J., & Slice, D. (1990) · Systematic Zoology · doi:10.2307/2992207 · Cited by 4,289
Self-citationThe Approximation of One Matrix by Another of Lower Rank
Eckart, C., & Young, G. (1936) · Psychometrika · doi:10.1007/bf02288367 · Cited by 3,800
A User's Guide to Principal Components
Leigh, S., & Jackson, J. E. (1993) · Technometrics · doi:10.2307/1269292 · Cited by 3,332
James Rohlf, F., & Marcus, L. F. (1993) · Trends in Ecology & Evolution · doi:10.1016/0169-5347(93)90024-j · Cited by 2,019
Spatial Pattern Analysis of Functional Brain Images Using Partial Least Squares
McIntosh, A. R., Bookstein, F. L., Haxby, J. V., & Grady, C. L. (1996) · NeuroImage · doi:10.1006/nimg.1996.0016 · Cited by 1,114
Shape Statistics: Procrustes Superimpositions and Tangent Spaces
Rohlf, F. J. (1999) · Journal of Classification · doi:10.1007/s003579900054 · Cited by 879
Self-citation(1982) · Cited by 842
On Applications of Geometric Morphometrics to Studies of Ontogeny and Phylogeny
Rohlf, F. J. (1998) · Systematic Biology · doi:10.1080/106351598261094 · Cited by 423
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Morpho and Rvcg – Shape Analysis in R
Schlager, S. (2017) · Statistical Shape and Deformation Analysis · doi:10.1016/b978-0-12-810493-4.00011-0 · Cited by 894
Morphological integration and developmental modularity
Klingenberg, C. P. (2008) · Annual Review of Ecology Evolution and Systematics · doi:10.1146/annurev.ecolsys.37.091305.110054 · Cited by 863
A field comes of age: geometric morphometrics in the 21 st century
Adams, D. C., Rohlf, F. J., & Slice, D. E. (2013) · Bollettino del CILEA (CILEA) · doi:10.4404/hystrix-24.1-6283 · Cited by 722
Self-citationAntagonistic coevolution between the sexes in a group of insects
Arnqvist, G., & Rowe, L. (2002) · Nature · doi:10.1038/415787a · Cited by 485
Klingenberg, C. P., & Marugán-Lobón, J. (2013) · Systematic Biology · doi:10.1093/sysbio/syt025 · Cited by 415
Metadata
- Authors
- Rohlf, F. J., & Corti, M.
- Venue
- Systematic Biology
- Publisher
- Oxford University Press (OUP)
- Published
- 2000-12-01
- Volume
- 49
- Issue
- 4
- Pages
- 740-753
- ISSN
- 1063-5157 (ISSN-L)
- 1076-836X
- OpenAlex
- W2098068460
- Cited by
- 913
- References
- 22
- FWCI
- 13.78
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
