Multivariate Analysis & Modeling

This course aims at developing a conceptual and practical understanding of the application of multivariate statistics and modeling in marine biology and ecology.


MALM | #Environnmental & Data analysis | 4 ECTS

Semester 2 (Spring)


Learning outcomes

 Students should

  • understand stages of ecological simulation modeling (conceptualization, parametrization, implementation, sensitivity analysis), choose appropriate ecological models, validate, analyze & assess the performance of models, properly interpret outputs and plot results
  • extend the logics from univariate techniques to multivariate frameworks in hypothesis testing (Distances, Clustering, Ordination, Principle Component Analysis...)


  • Numerical modeling
    • Introduction to NPZD models
    • Complexity in numerical modeling
    • Design a model
  • Multivariate analysis
    • Starting from the SCAN souvenirs
    • Linear Regression (from simple to multiple)
    • Measure of association
    • Clustering & Ordination
    • PCA et al


  • Christophe Mocquet (UCA, module coordinator)


  • Model article
  • Model presentation
  • Multivariate analysis assignments
The other Semester 2 modules
The other #Environmental Data analysis modules