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Ordination and Gradient Analysis

Language

English

Course format On-site
Date 2020-10-26 - 2020-11-20
Entry level Bachelor

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.

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

Prerequisites

Bachelor's degree in Biology, or equivalent.

Recommended Previous Knowledge

BIO250 Palaeoecology (10 ECTS), BIO300A Academic Writing (5 ECTS) and BIO300B Biostatistics (5 ECTS), or equivalent.

Files/Documents

ISCED Categories

Ecology
Statistics