Core and advanced environmental statistics training: Quantifying the environment
Monday 8th-Friday 12th September, 2014 Lab 110, Mathematics Building
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.
The course organiser is Professor Marian Scott.