6EV323 Multivariate statistics in community ecology

    • Number of credits
      2,5
    • Teaching semester
      2024 Spring
    • Language of instruction
      English
    • Campus
      Evenstad
Course content

The course provides an introduction to the use of multivariate statistics in ecology and to the main analytical methods such as ordination, cluster analysis or classification. The course starts with some theoretical background but then focuses on the analysis and interpretation of multivariate ecological data using the R environment.

Learning Outcome

A student with fulfilled qualifications will have the following learning outcome:

Knowledge

Student

  • has in-depth knowledge of the advantages and limitations of the main multivariate methods used in ecology
Skills

Student

  • has a basic knowledge on the application and interpretation of different ordination and classification methods to ecological data, using the R environment
General competence

Student

  • knows how to carry out multivariate data analysis to describe ecological communities and their relations to environmental predictors
Teaching and working methods

Lectures and practical exercises using R.

Required coursework

Participation in introductory lectures, presentation (oral and written) of a report.

Form of assessment

Individual report

Assessments
Form of assessmentGrading scaleGroupingDuration of assessmentSupport materialsProportionComment
Written assignment
ECTS - A-F
Individual
Faculty
Faculty of Applied Ecology, Agricultural Sciences and Biotechnology
Department
Department of Forestry and Wildlife Management