Objectives and Content
The course introduces some statistical tools for analysing and interpreting ecological data. It consists of lectures and computer based practicals covering direct and indirect ordination, cluster analysis and regression trees. The course is followed by a take home exam which covers both theoretical and practical aspects of the course.
Prerequisites
Learning outcomes
After completing the course, students should be able to:
- Explain why the statistical properties of ecological data mean it can needs appropriate methods
- Explain why parsimonious models and methods should be preferred
- Describe the advantages and disadvantages of different numerical methods
- Choose appropriate techniques for analysing data
- Interpret diagnostics
- Build parsimonious models
- Generate and interpret relevant plots
- Analyses data in a modern statistical package
Files/Documents
ISCED Categories
Ecology
Statistics