01-Morphometrics: History, Introduction and Data Types

02-Linear Algebra and Linear Models

03-Superimposition: Generalized Procrustes Analysis (GPA)

04-Shape Spaces, Shape Variables, & PCA

05-GPA with Semilandmarks

GMShiny demo

06-Shape Statistics I

07-Allometry

08-Shape Statistics II

09-Phylogenetic Comparative Methods

10-Symmetry and Asymmetry

11-RRPP Extensions (Trajectory Analysis & Morphlogical Disparity)

12-Integration and Modularity

13-Missing Data

14-Future Directions and Prospectus

Appendix (for shape statistics)