Statistics for Environmental Evaluation: Quantifying the environment Course
Monday 6th-Friday 10th January Lab 110
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 series of lectures given by experts in the topic;
- hands-on practical sessions using R;
- discussion/problem solving sessions;
- 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.
Please note: This course is now full however we are running a waiting list. We intend to run this course again in August 2014 however this will not be funded by NERC. To be added to the waiting list please contact email@example.com.
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