Geostatistics: Modeling Spatial Uncertainty
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- Wiley
More About This Title Geostatistics: Modeling Spatial Uncertainty
English
JEAN-PAUL CHILéS is a senior research scientist with the Bureau de Recherches Géologiques et Miniéres (the French Geological Survey) in Orleans, France.
PIERRE DELFINER is a scientific advisor in geosciences with Total Exploration Production in Paris, France.
PIERRE DELFINER is a scientific advisor in geosciences with Total Exploration Production in Paris, France.
English
Preliminaries.
Structural Analysis.
Kriging.
Intrinsic Model of Order k.
Multivariate Methods.
Nonlinear Methods.
Conditional Simulations.
Scale Effects and Inverse Problems.
Appendix.
References.
Index.
Structural Analysis.
Kriging.
Intrinsic Model of Order k.
Multivariate Methods.
Nonlinear Methods.
Conditional Simulations.
Scale Effects and Inverse Problems.
Appendix.
References.
Index.
English
"This is a book that the geostatistical community has been waiting for long since" "I can recommend anyone interested in geostatistics to get the volume...I am convinced that it will be the volume to cite in the next decade or more." (Journal of Geodsy, November 2000)
Reviews the most up-to-date geostatistical methods and the types of problems they address. Emphasizes the statistical methodologies employed in spatial estimation. Presents simulation techniquesand digital models of uncertainty.
"...a readable, comprehensive volume that should be useful for many years. It belongs on the desk, close at hand, of any serious researcher or practitioner." (Mathematical Geology, Vol. 35, No. 3April 2003)
