UCL - Statistical analysis of spatial and temporal data

[BIRE2101]

[22.5h + 15h] 3 credits

This course is taught in the 2d semester.

Teacher(s): Patrick Bogaert

Language: French

Level: Second

Aims
Main themes
Content and teaching methods
Other information (prerequisite, evaluation (assessment methods), course materials recommended readings, ...)

Aims

This course will complete the basic notions already presented during the courses BIR 1203 - Probability and Statistics (I) and BIR 1304 - Probability and Statistics (II). The student will be able to analyze data that are correlated through space and time, these data being frequently encountered in the agro-environmental field. The course will put the emphasis on the link between the general theory and the practical specificities of environmental data. It should allow the student to model such kind of processes and to use them in a mapping or forecasting context

Main themes

Notions of spatial/temporal dependency and its effect on statistical estimation. Quantification and modelling of dependencies through space and time. Random fields theory. Prediction and simulation of correlated data. Mapping and forecasting methods.

Content and teaching methods

Other information (prerequisite, evaluation (assessment methods), course materials recommended readings, ...)

This course follows the BIR 1203 and BIR 1304 courses. There will be a written examination. Support is a set of slides and additional notes.