Numerical Analysis of Biological and Environmental Data

Biological and environmental data are usually complex, consisting of many observations and many variables. This 2 week course provides an overview of the main techniques of multivariate data analysis that are relevant and useful in ecology and in the study of environmental change, particularly using 'proxy' biostratigraphical data.

Emphasis is on statistically robust and ecologically realistic numerical techniques for both descriptive and hypothesis-testing purposes. Lectures include classification techniques, regression analysis, indirect (ordination) and direct (constrained ordination) gradient analyses, discriminant analysis, calibration & transfer functions, analysis of temporal and spatial data and hypothesis testing - permutation tests, bootstrapping etc.

Course Dates

2013: Dates TBC.

2012: 14–25th May 2012

2011: 9–20th May 2011

Course leaders:

The course is led by two experienced and well-respected quantitative ecologists and palaeoecologists:

  • Gavin Simpson (ECRC, UCL)
  • John Birks (Department of Biology, University of Bergen

Further Information

You can find further information on the course from the ECRC web site.