Spatial predictive modelling with R 1. Data acquisition data quality control and spatial reference systems2. Predictive variables and exploratory analysis3. Model evaluation and validation4. Mathematical spatial interpolation methods5. Univariate geostatistical methods6. Multivariate geostatistical methods7. Modern statistical methods8. Tree based machine learning methods9. Support vector machine10. Hybrids of modern statistical methods with mathematical and univariate geostatistical methods11. Hybrids of machine learning methods with mathematical and univariate geostatistical methods12. Applications and comparisons of spatial predictive methodsAppendix A. Data sets used in this book