Geometric Morphometrics is the analysis of shape using Cartesian geometric coordinates rather than linear, areal, or volumetric variables. Geometric morphometric methods (GMM) include 2D and 3D points representing landmarks, curves, outlines, or surfaces. This course is a practical, applied introduction to GMM. Students learn to collect, analyze, and interpret geometric morphometric data. Shape theory and methods are covered, including Procrustes superimposition and its statistical implications, analysis of curves and outlines, and Monte Carlo modeling of shape.
[Course Syllabus]
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Overview of principles of geometric morphometric methods (GMM), including definitions of landmarks, outlines and surfaces, differentiation between traditional morphometrics and GMM, short history of morphometrics, components of a morphometric study, and examples of equipment needed for GMM studies.
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Mathematica interface, functions, variables, and graphics
[Download slides] [sample data set] [Assignment 1]
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Review of data manipulation commands in Mathematica, getting rows, getting columns, general steps GMM analysis, specific steps in Mathematica, tpsImport[], Procrustes[], PrincipalComponentsOfShape[].
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[Answer to Assignment 1]
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Review data manipulation, review installing Mathematica package, review steps for analysis of faces, interpret results of analysis of faces, including discussion of biases in the data.
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Procrustes, Procrustes distances (including calculation in Mathematica), details of Principal Components Analysis, shape modelling
[Download slides] [Assignment 2]
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Review, Introduction to Regression and ANOVA using PC scores, Performing Regression and ANOVA in Mathematica, Applications of Regression and ANOVA, Introduction to tarsal problem for Assignment 3.
[Download slides] [Collecting 3D landmarks] [Assignment 3 - Carnivore tarsals]
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Introduction to outline data. Fourier analysis, Eigenshape analysis, semilandmark analysis. Issues with semilandmark positions, solutions with extended eigenshape and sliding semilandmarks.
[Download slides] [Assignment 4 - outlines]
[Marmot molar tps file] [Turtle image file]
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Issues with Procrustes and introduction to Euclidean Distance Matrix Analsysis
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Principles of design for quantitative data graphics, advanced functions in Mathematica for their creation.
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Review of basic syntax and procedures in Mathematica, review of the basic steps in GMM and how to do them in Mathematica, advanced discussion of creating customized graphics in Mathematica.
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[Download Mathematica Notebook] (right click and save notebook as a file, then open in Mathematica)
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Introduction to phylogenetics in the context of geometric morphometrics, discussion of phylogenetic signal in morphometrics, introduction to tree building.
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Phenotypic evolution, random walks (Brownian motion), reconstructing ancesrtral shapes
[Download slides] [mammal tree]
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Review, multivariate regression, two-block partial least squares analysis, Boostrapping statistics
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Mathematica Morphometrics Package
Download Geometric Morphometrics for Mathematica and other Mathematica packages here
Handouts
How to collect landmarks from photos
Collecting 3D landmarks with MicroScribe
Collecting outline points in ImageJ
Sample Data Files
Associated data from Caumul and Polly, 2005 [Excel format]
Onyx turtle images for outlines
Marmot molar TPS file
Morphometrics Resources
Jim Rohlf's morphometrics site
MorphoJ software from Klingenberg
GMM tools for
Mathematica and R
EVAN toolbox
Online Morphometric, Image, and Scan Data
Digital Morphology Site (DigiMorph)
MorphoBrowser
Virtual Zooarchaeology of the Arctic
IU Natural History Collections
IU Paleontology Collection
Adams Zooarchaeological Collection
Glenn Black Lab of Archaeology
IU Herbarium
IU Paleo Collection on
FaceBook

Online Phylogenetic Data
CladeStore
TreeBase
MorphoBank
NCBI Taxonomy
Molecular Data from Extinct Species
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