Universität Wien

300149 UE Species distribution modelling (2017S)

5.00 ECTS (3.00 SWS), SPL 30 - Biologie
Continuous assessment of course work


Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).


max. 15 participants
Language: English


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


Aims, contents and method of the course

The course will introduce to so-called species distribution modelling (habitat distribution modelling, niche-based modelling), i.e. the statistical derivation of species' niches from their geographical distribution and the use of the models to project real-word distribution of species in space and time.
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.

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


Last modified: Mo 07.09.2020 15:43