The course is an introduction to spatial modelling, to the different types of models and to spatial statistics that allows students to deepen these different aspects in their Master Cursus. It is based on a lot of different application examples mainly coming from the fields of geography and geology. The course favours the interpretation rather than the technique.
Practical sessions include exercices related to simulation models, empirical statistical models (spatial regressions), spatial autocorrelation and spatial interpolation (statistical surfaces).
Written exam (theory; 50% of final mark) and practical assignment (50% of final mark). The practical assignment consists of a written report (10%) and a practical exam on computer (40%).
Theoretical and practical parts are two different learning activities. Each part can therefore be validated once the mark of 10/20 is reached.
The evaluation is similar for the second session.
| Training | Study programme | Block | Credits | Mandatory |
|---|---|---|---|---|
| Standard | 0 | 4 | ||
| Standard | 0 | 4 | ||
| Standard | 0 | 4 | ||
| Standard | 0 | 4 | ||
| Standard | 0 | 4 | ||
| Standard | 0 | 4 | ||
| Standard | 1 | 4 | ||
| Standard | 2 | 4 | ||
| Standard | 2 | 4 | ||
| Standard | 2 | 4 | ||
| Standard | 3 | 4 | ||
| Standard | 3 | 4 |