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PNS0074

Multivariate methods for ecologists

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.

Kursplan

PNS0074 Multivariate methods for ecologists, 4,5 Hp

Ämnen

Matematisk statistik

Utbildningens nivå

Forskarnivå

Språk

Engelska

Förkunskapskrav

Basic course in statistics, 7.5 credits, or the equivalent.

Mål

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.

Innehåll

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.

Examinationsformer och fordringar för godkänd kurs

For part 1, during computer labs there will be repeated individual oral tests of understanding and acquired knowledge. For part 2, each student needs to produce an approved written and oral presentation of their working process and conclusions during the individual project.

Ytterligare 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.

Ansvarig institution/motsvarande

Institutionen för Vatten och Miljö

Kursfakta

Ämne: Matematisk statistik
Kurskod: PNS0074 Plats: Ortsoberoende Distanskurs: Ja Undervisningsspråk: Engelska Ansvarig avdelning: Institutionen för Vatten och Miljö Studietakt: 100%