Numerical ecology: multivariate methods for marine community ecology
Course Contents
- Nature of multidimensional data
- Matrix algebra; Similarities, dissimilarities and distances
- Clustering
- Ordination
- Canonical analysis
- Spatial and temporal modelling.
Final Competencies
1 Students will understand the theoretical foundation of advanced methods for the study of community change over space and time.
2 They will be able to carry out these analysis using state of the art methods and tools using the R language.
3 They will also acquire the knowledge necessary to properly design experiments to study beta diversity in space and time.
Further course information can be found here: https://studiekiezer.ugent.be/studiefiche/en/C004305/2021