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Please check the official study guide for the most up to date course information

Numerical ecology: multivariate methods for marine community ecology

Semester 3

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: