| Week | Lecture | PCLab | Date |
|---|---|---|---|
| 1 | Dies academicus | Course organisation | 16 Oct 2024 |
| 2 | No class | Introduction to R | 23 Oct 2024 |
| 3 | Introduction to spatial analysis | Data manipulation and import/export with R | 30 Oct 2024 |
| 4 | Mathematical preliminaries | Visualization and data manipulation with R | 06 Nov 2024 |
| 5 | The linear model | Linear regression | 13 Nov 2024 |
| 6 | Categorical variables (ANOVA) and dummy coding | Hypothesis testing and ANOVA | 20 Nov 2024 |
| 7 | Multiple linear regression | Multiple linear regression | 27 Nov 2024 |
| 8 | Maximum Likelihood and outlook to Bayesian statistics | Introduction to Bayesian inference | 04 Dec 2024 |
| 9 | Generalized linear models I | Generalized linear models I | 11 Dec 2024 |
| 10 | Generalized linear models II | Generalized linear models II | 18 Dec 2024 |
| 11 | Multivariate methods I | Raster Data in R | 08 Jan 2025 |
| Principal component analysis | 08 Jan 2025 | ||
| 12 | Multivariate methods II | Discriminant function analysis and Model validation | 15 Jan 2025 |
| 13 | Understanding spatial data | Spatial vectors in R | 22 Jan 2025 |
| 14 | Point pattern analysis | Point pattern analysis in R | 29 Jan 2025 |
| 15 | Spatial autocorrelation and interpolation | Semivariogram analysis and kriging | 05 Feb 2025 |
| 16 | Spatial weights and linear modeling | Spatial regression models | 12 Feb 2025 |
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