J.-P. Chilès, P. Delfiner: Geostatistics: Modeling Spatial Uncertainty [Book Review]

Geostatistics: Modeling Spatial Uncertainty by J.-P. Chilès and P. Delfiner publishedin 1999 has been one of the most cited reference book in Geostatistics and spatialstatistics in the last decade. There are very good reasons for this: it is, in my opinion,the most comprehensive book on geostatistics, with an in-depth coverage of all aspects,from random field theory and spectral representation to virtually all practicalissues arising when modeling spatial data, including variogram fitting, (co) kriging,estimating nonlinear quantities in presence of a change of support, or when performingconditional simulations. In a unique way, it reconciles theory and practice. It providesvery precise theoretical results and excellent advice on the practice of modelingspatial data. It is profusely illustrated with numerous application examples, mostly inearth science