300149 UE Species distribution modelling (2017S)
Continuous assessment of course work
Labels
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 02.02.2017 08:00 to Th 16.02.2017 18:00
- Deregistration possible until Fr 31.03.2017 18:00
Details
max. 15 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
Block-Lehrveranstaltung 27 bis 31/03/2017. Vorbesprechung: 02/03, 15.00, Seminarraum des Dept. f. Botanik und Biodiversitätsforschung, Rennweg 14
Thursday
02.03.
15:00 - 16:00
Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
Monday
27.03.
09:00 - 17:00
Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
Tuesday
28.03.
09:00 - 17:00
Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
Wednesday
29.03.
09:00 - 17:00
Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
Thursday
30.03.
09:00 - 17:00
Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
Friday
31.03.
09:00 - 17:00
Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
Saturday
01.04.
09:00 - 17:00
Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
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 basic familiarity with R and ArcGIS (or equivalent software). As there will be groups of two, knowledge of partners may be complementary, meaning that in each team of two persons at least one should have experience with R and the other one with GIS-software.Positive evaluation requires regular presence, active work during the course and doing at least part of the final presentation.
Examination topics
Reading list
Janet Franklin (2010): Mapping Species Distributions: Spatial Inference and Prediction. Cambridge University Press.
Association in the course directory
MEC-6, MBO 7, B-WZB, WZB
Last modified: Mo 07.09.2020 15:43
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. Practical work will be organized around a central theme which, in this year, will be the usefuleness of Austrian national parks to conserve a set of selected plant and insect species under climate warming. All practical work will be done in R, with additional use of ArcGIS for some issues.