- Učitel: Jan Lepš
- Učitel: Petr Šmilauer
Students will learn the theory of more advanced methods of multivariate analysis and also how to apply those methods to their own data. We will introduce the multivariate analysis of repeated measurements data, principal response curves method, co-correspondence analysis and Procrustes analysis, but also the ordination including information about spatial variability (db_MEM), as well as various methods of analysing the relationship between functional traits and environmental conditions. Closing weeks will be spent with the student presentations where they demonstrate their ability to use one of the introduced methods.