Multivariate methods for ecologists
The course is given in two parts: The first part involves lectures and supervised computer exercises, and the second involves supervised individual work with the students own data. Participants may register for either only the first or both parts of the course.
Syllabus and other information
Syllabus
PNS0074 Multivariate methods for ecologists, 4.5 Credits
Subjects
Mathematical StatisticsEducation cycle
Postgraduate levelGrading scale
Language
EnglishPrior knowledge
Basic course in statistics, 7.5 credits, or the equivalent.Objectives
The course aims to illustrate a number of factors which should be considered in multivariate analysis of ecological data. The course will concentrate more on the selection of relevant methodology (e.g. application of multivariate methods), than on the underlying mathematical aspects of the various statistical procedures. After completing the course, the student will be able to apply multivariate methods for analysing their own data, as well as to understand and assimilate more advanced literature.
Content
Lectures focus on developing a fundamental understanding of how multivariate methods are applied in ecological research; specifically, selection of the most appropriate method(s) to use with different sampling designs and strategies. A number of ordination and classification procedures will be demonstrated, such as cluster analysis, canonical correspondence and redundancy analyses (CCA/RDA), principle components analysis (PCA), and partial least square-analysis (PLS). All theory will be exemplified and exercised during computer labs using a standard dataset.
The course is given in two parts: The first part involves lectures and supervised computer exercises, and the second involves supervised individual work with the students own data. Participants may register for either only the first or both parts of the course.
Additional information
Applications are handled by the responsible department. Applicants fulfilling the prerequisites will be accepted in the order applications are received after the course invitation is sent out.Responsible department
Department of Aquatic Science and Assessment