300007 UE Species distribution modelling (2021S)
Continuous assessment of course work
Labels
REMOTE
Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
- Registration is open from Th 11.02.2021 08:00 to Th 25.02.2021 18:00
- Deregistration possible until We 31.03.2021 18:00
Details
max. 16 participants
Language: English
Lecturers
Classes
First meeting: 04/03/2021, 9 - 10.00, online
The course will be 19 - 23/04, 9 - 17.00. Ideally in our seminar room at Rennweg 14, but, given the current COVID situation most likely as an online-course. More on this during the first meeting.Information
Aims, contents and method of the course
Assessment and permitted materials
Participants will work in groups of two. Each group will have its own 'project' including the full sequence of modelling, projection and analysis work. Evaluation will be based on work during the course and on a final 15-min presentation of the groups' results.
Minimum requirements and assessment criteria
The course requires at least basic familiarity with R. Having done at least one coarse of data analysis in R is a not formal requirement, but strongly recommended.
Positive evaluation requires regular presence, active work during the course and doing at least part of the final presentation.
Positive evaluation requires regular presence, active work during the course and doing at least part of the final presentation.
Examination topics
Reading list
Guisan A. & Zimmermann N. E. 2000: Predictive habitat distribution models in ecology. Ecological Modelling 135: 147- 86.Guisan, A. & Thuiller, W. 2005: Predicting species distributions: offering more than simple habitat models. Ecology Letters 8: 993-1009.Thuiller, W. et al. 2009: BIOMOD - A platform for ensemble forecasting of species distributions. Ecography: 32, 369-373.Franklin, J. 2010: Mapping species distributions. Cambridge University Press.Guisan, A., Thuiller, W. & Zimmermann, N.E. 2017: Habitat suitability and distribution models. Cambridge University Press.
Association in the course directory
MEC-6, MBO 7
Last modified: Fr 14.05.2021 11:08
The course will combine introductory lectures with pratical work. Practical work will include all main steps from data preparation, model parameterization & evaluation to projection, mapping and analysis of projection results. All practical work will be done in R.