Multivariate Analysis

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Multivariate Analysis

to be announced


The multidimensional data on community composition, properties of individual populations, or properties of environment are the bread and butter of an ecologist’s life. They need to be analysed with taking their multidimensionality into account. A reductionist approach of looking at the properties of each variable separately does not work in most cases. The methods for statistical analysis of such data sets fit under the umbrella of ‘multivariate statistical methods’. In this course, our intention is to provide the participant with both the basic understanding of principles of multivariate methods and the skills needed to use those methods in his/her own work.

  • Day 1: Collecting data, multiple linear regression and polynomials, selection of variables, comparing models and GenStat for Windows.
  • Day 2: Loglinear models, analysis of presence-absence data, logistic regression analyses with the Gaussian response model and an introduction to multivariate analysis.
  • Day 3: Ordination, Direct and indirect analysis of gradients, Length of gradient, Principal components analysis (PCA), Redundancy analysis (RDA), Interpretation biplots of PCA and RDA, Canoco for Windows (4.5).
  • Day 4: Ordination based on Correspondence analysis methods (CA, CCA and DCA) Interpretation CA/DCA plots, Choice of method.
  • Day 5: Cluster analysis, choice of similarity measure, agglomerative methods, divisive methods, TWINSPAN, model-based approaches and interpretation.
General information
Target Group The course is aimed at PhD candidates, postdocs, and other academics that are working above plant integration level in plant, animal, and/or environmental/ecological sciences
Group Size Min. 15 / Max. 20 participants
Course duration 5 days
Language of instruction English
Frequency of recurrence Annually (Autumn)
Number of credits 1.5 ECTS
Lecturers Prof. Dr. Cajo Ter Braak (Plant Research International / Biometris, Wageningen UR) and Ir. Saskia Burgers (Plant Research International, Wageningen UR)
Prior knowledge Participants are expected to have a good knowledge of basic statistics (like hypothesis testing, t- and F-tests and linear regression) and some experience in a statistical package (GenStat, R, SPSS, or likewise)
Location Wageningen University Campus
Options for accommodation Accommodation is not included in the fee of the course, but there are several possibilities in Wageningen. For information on B&B's and hotels in Wageningen please visit Another option is Short Stay Wageningen. Furthermore Airbnb offers several rooms in the area. Finally, there is also a very active public Facebook group called “Wageningen Student Plaza”, where rooms are often offered for short-term sublets, but where one could also easily post a request for renting a room for a week in Wageningen. Finally, note that besides the restaurants in Wageningen, there are also options to have dinner at Wageningen Campus.
More information

Claudius van de Vijver (PE&RC)
Phone: +31 (0) 317 485116

Lennart Suselbeek (PE&RC)
Phone: +31 (0) 317 485426

Registration of interest

At this moment, this course is not scheduled yet. However, if you register your interest in this activity below, we will inform you as soon as the course is scheduled and registration of participation is opened.