Spatial Predictive Modeling with R (Paperback, 1)

1. Data acquisition, data quality control and spatial reference systems
2. Predictive variables and exploratory analysis
3. Model evaluation and validation
4. Mathematical spatial interpolation methods
5. Univariate geostatistical methods
6. Multivariate geostatistical methods
7. Modern statistical methods
8. Tree-based machine learning methods
9. Support vector machine
10. Hybrids of modern statistical methods with mathematical and univariate geostatistical methods
11. Hybrids of machine learning methods with mathematical and univariate geostatistical methods
12. Applications and comparisons of spatial predictive methods
Appendix A. Data sets used in this book