University of Glasgow
Monday 19th-Friday 23rd August
This one week course provides practically motivated training in key statistical analysis and modelling skills for environmental scientists. The course is based on earlier successful courses run since 2004. Sponsorship is available for NERC funded PhD students. This is a very popular course with places for a maximum of 35 students, so early registration is recommended.
Key elements of the course include:
a) A series of lectures given by experts in the topic;
b) hands-on practical sessions using R;
c) discussion/problem solving sessions;
d) case studies and illustrations drawn from topical environmental issues.
The course focuses on key statistical methods, which are fundamental to
Environmental Science and include sampling and monitoring (design and analysis),
spatial methods, trend detection, exploring relationships (regression methods and
advanced regression), multivariate methods and time series. A refresher session on
some fundamental statistical tools will be used to provide an introduction to R (the
software used throughout). Each topic is introduced in a general way and then
followed with practical work.
Details of the course can be found at http://www.gla.ac.uk/schools/mathematicsstatistics/events/details/?id=9018