Introduction
  • Background concept to morphometrics
  • Landmark and Acquisition in 3D
  • Landmark Visualization
  • Statistical Analysis on Landmark Data
Landmark and Acquisition in 3D
  • 3D image reduction and conversion
  • 3D digitization with meshlab
  • 3D digitization with phylonimbus
  • 3D digitization with geomorph
  • Sliding semilandmarks with Viewbox - Creating the template mesh
  • Sliding semilandmarks with Viewbox - Applying template to 3D mesh target
  • Exporting landmarks data
  • Intro to error assessment
Visualizing 3D Landmarks
  • 3D landmarks visualization - GPA and PCA
  • Error assessment with Procrustes ANOVA
  • 3D landmarks visualization in PAST
Statistical Analysis on 3D Landmark Data
  • ANOVA
  • ANOSIM and PERMANOVA
  • MANOVA
  • Regression Analysis
  • Discriminant Analysis & Canonical Variate Analysis
  • Clustering
  • Euclidean Distance Matrix Analysis (EDMA)