Notes

  1. Introduction
  2. Mean and covariance functions
  3. Gaussian processes
  4. Estimation and prediction
  5. Methods for large datasets
  6. Non-Gaussian data
  7. Non-stationarity
  8. Spatiotemporal data
  9. Multivariate data
  10. Areal data
  11. Spatial point patterns
  12. Spatial extremes