Use of two-block partial least-squares to study covariation in shape.

By F. James Rohlf, M. Corti. Systematic Biology, 2000

856 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Geometry and Topology

View Paper: https://www.semanticscholar.org/paper/cbbc12d639c964f52ad77e60d6956e53ee4c2286

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In Computer Vision and Pattern Recognition

In Geometry and Topology

Citations in the corpus

The tps series of software (2015, methodology): “A program to perform a two-block partial least-squares analysis, 2BPLS, as described by Rohlf and Corti (2000).”
Semilandmarks: a method for quantifying curves and surfaces (2013, methodology): “…to other multivariate methods, or to use methods that impose no constraints on the number of variables, such as partial least squares analysis (Rohlf and Corti, 2000; Bookstein et al., 2003; Mitteroecker and Bookstein, 2007, 2008), between-group PCA (Mitteroecker and Bookstein, 2011), and…”
A field comes of age: geometric morphometrics in the 21 st century (2013, methodology): “…Hotelling’s T 2 or multivariate analysis of variance (MANOVA) can be used to test for shape differences among groups, while multivariate regression or partial least squares (PLS: Rohlf and Corti 2000) can be used to help identify patterns of covariation between shape and other continuous variables.”
Developmental instability as a research tool: using patterns of fluctuating asymmetry to infer the developmental origins of morphological integration. (2003, methodology): “A possible means to identify patterns of covariation between two sets of variables is the partial least squares (PLS) technique (e.g., Bookstein et al. 1990; Bookstein 1991, p. 41 f.; Rohlf and Corti 2000).”
Evolutionary convergence of body shape and trophic morphology in cichlids from Lake Tanganyika (2001, methodology): “Partial least squares analysis is a multivariate correlation technique that describes the covariation between two sets of variables (see e.g. Rohlf & Corti, 2000 ).”
Morphological Integration and Developmental Modularity (2008, methodology): “…analysis and similar methods, whereas the covariation between different parts of a structure is often studied with methods such as partial least squares analysis (e.g., Bastir et al. 2005; Bookstein et al. 1990, 2003; Klingenberg & Zaklan 2000; Klingenberg et al. 2001; Rohlf & Corti 2000).”
Advances in Geometric Morphometrics (2009, methodology): “Partial least squares (PLS) is a method to assess relationships among two or more blocks of variables measured on the same entities (Wold 1966; Rohlf and Corti 2000; Bookstein et al. 2003).”
Procrustean co-inertia analysis for the linking of multivariate datasets (2003, methodology): “The two-block partial least-squares analysis (2BPLS: Rohlf & Corti, 2000), which is similar to Tucker’s approach, also aims to find combinations of variables of maximal covariance.”
Phenotypic Diversity of Lake Trout in Great Slave Lake: Differences in Morphology, Buoyancy, and Habitat Depth (2006, methodology): “The 2B-PLS tested for covariance patterns between shape variables (block 1) and pectoral, caudal, and dorsal fin lengths, depth of capture, and buoyancy (block 2; standardized to z -distributions) ( Rohlf and Corti 2000 ; Ruber and Adams 2001 ).”
Fiddler crab claw shape variation : a geometric morphometric analysis across the genus Uca (Crustacea : Brachyura : Ocypodidae) (2002, methodology): “The relationship between minor claw shape and habitat was evaluated with a two-block Partial Least Squares analysis (Bookstein et al., 1996; Rohlf & Corti, 2000).”