Subject description
1. Introduction to environmental statistics.
2. Time series analysis.
3. Spatial statistics, geostatistics.
4. Design of monitoring networks.
5. Spatial-temporal statistics.
6. Statistical analysis of extreme values.
The subject is taught in programs
Objectives and competences
Covers many of the statistical methodologies used in the environmental sciences, including spatial statistics, time series analysis and extreme value theory applied in such areas as air pollution modeling, global climate change and the prediction of extreme environmental events.
Teaching and learning methods
Lectures, computer lab. work, seminar.
Expected study results
Knowledge and understanding:
The student will be able to independently collect and use basic statistical models for analyses of time series, spatial data and extreme values.
Basic sources and literature
Shumway R. H., Stoffer D.S., 2016. Time Series Analysis and Its Applications With R Examples
Fourth Edition, Springer
Diggle P. J., Ribeiro P. J., 2006: Model-based Geostatistics, Springer Verlag.
Izbrani znastveni članki
Kastelec D.: Študijsko gradivo (pdf datoteke).
Stay up to date
University of Ljubljana, Faculty of Electrical Engineering Tržaška cesta 25, 1000 Ljubljana