ECTS
2 credits
Training Structure
College of Sciences
Time of year
Fall
Description
The module aims to provide theoretical and practical knowledge of statistical analyses of spatial and temporal constraints: classification and ordination under constraints, "two-table ordination methods and statistical tests: canonical analyses (AFD, CCA, RDA, CAP)," "statistical tests on distance matrices, and matrix comparisons (PERMANOVA, Mantel, Procrustes)."
Objectives
Understand, be able to apply, and interpret the following two-table ordering methods and statistical tests: canonical analyses (AFD, CCA, RDA, CAP); statistical tests on distance matrices; and matrix comparisons: PERMANOVA, Mantel.
Mandatory Prerequisites
Classical Classification and Factor Analyses (CAH, PCA, AFC, PCoA)
Knowledge Assessment
Comprehensive ongoing assessment: 100%