UNIL
le savoir vivant
You are here: UNIL > Programmes > Card-index course
Français | English   Print   

Card-index course

Spatial modelisation of natural data - Multivariate analyses

Modélisation spatiale des espèces et de la biodiversité

Responsible Faculty: Faculty of Geosciences and Environment (FGSE)

Teacher(s): Antoine Guisan
Lecturer(s): -

Validity: 2013 ->

Course Timetable (Aperiodic)

Date Location Notice Topics Lecturer(s)
20.11.2019 de 09:00 à 12:00 Géopolis/2113     
21.11.2019 de 09:00 à 12:00 Géopolis/2138 (Geolab)     
27.11.2019 de 09:00 à 12:00 Géopolis/2145     
04.12.2019 de 09:00 à 12:00 Géopolis/2138 (Geolab)     
05.12.2019 de 09:00 à 12:00 Géopolis/2138 (Geolab)     
11.12.2019 de 09:00 à 12:00 Géopolis/2138 (Geolab)     
12.12.2019 de 09:00 à 12:00 Géopolis/2138 (Geolab)     
18.12.2019 de 09:00 à 12:00 Géopolis/2138 (Geolab)     
19.12.2019 de 09:00 à 12:00 Géopolis/2138 (Geolab)     

Practical work (compulsory)

Autumn semester
9 djb hours per week
Aperiodic
Teaching language(s): French
Public: Yes
Credits: 2.00

Objective

Teach basic lectures and practicals in species distribution modelling (SDM). Presentations of articles by groups of students

Content

Lectures: 1. Theory, basic postulates and principles of species distribution models(SDMs) 2. Approaches for presence-only data 3. Group discrimination and quantitative approaches 4. Evaluation of models and predictions 5. Sampling data for models 6. Ensemble modelling and uncertainties 7. Modelling species assemblages (communities. Practicals: TP1. Introduction to GIS and R. TP2. Introduction to generalized linear models (GLMs). TP3. Introduction to generalized additive models (GAMs). TP4. Evaluation of models. TP5. Implementing scenarios of climate change. Articles:1 for 3-4 students, selected to represent different applications of SDMs

Evaluation

Practicals must be sufficient to be allowed to present the papers. Final score based on paper presentation

Bibliography

Franklin, J. (2010) Mapping species distribution: spatial inference and prediction. Cambridge University Press, Cambridge. Guisan, A., Thuiller, W. & Zimmermann, N.E. (in press) Habitat suitability models in ecology. Cambridge University Press.

Programme requirements

Knowledge of general biology and statistics

Canton de Vaud
Swiss University
Unicentre  -  CH-1015 Lausanne  -  Suisse  -  Tél. +41 21 692 11 11  -  Fax  +41 21 692 26 15