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Mathematical Geosciences

, Volume 45, Issue 3, pp 377–380 | Cite as

J.-P. Chilès, P. Delfiner: Geostatistics: Modeling Spatial Uncertainty

2nd Edition. Wiley, 2012
  • Denis Allard
Book Review

Geostatistics: Modeling Spatial Uncertainty by J.-P. Chilès and P. Delfiner published in 1999 has been one of the most cited reference book in Geostatistics and spatial statistics 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 practical issues arising when modeling spatial data, including variogram fitting, (co) kriging, estimating nonlinear quantities in presence of a change of support, or when performing conditional simulations. In a unique way, it reconciles theory and practice. It provides very precise theoretical results and excellent advice on the practice of modeling spatial data. It is profusely illustrated with numerous application examples, mostly in earth science.

Time has come for a new edition, which would include the many developments that have been made since 1999. The authors had a...

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Copyright information

© International Association for Mathematical Geosciences 2012

Authors and Affiliations

  1. 1.Biostatistics and Spatial Processes (BioSP)INRAAvignonFrance

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