Geostatistics. Modeling spatial uncertainty.

*(English)*Zbl 0922.62098
Wiley Series in Probability and Statistics. New York, NY: Wiley. x, 695 p. (1999).

This book deals with statistical models used to describe natural variables distributed in space or in time and space. It takes a practical approach to geostatistics – integrating statistical data with physical equations and geological concepts. Up-to-date and comprehensive, it explains both theory and applications, covers many useful topics, and helps solve economic and development problems in mining, oil exploration, environmental engineering, and other real-world situations involving spatial uncertainty. This book represents an invaluable resource for geostatisticians, physicists, mining engineers and earth science professionals such as petroleum geologists, geophysicists and hydrogeologists. It is also an excellent supplementary text for graduate-level courses in related subjects.

Chapter headings: (1) Preliminaries; (2) Structural analysis; (3) Kriging; (4) Intrinsic model of order k; (5) Multivariate methods; (6) Nonlinear methods; (7) Conditional simulations; (8) Scale effects and inverse problems.

Chapter headings: (1) Preliminaries; (2) Structural analysis; (3) Kriging; (4) Intrinsic model of order k; (5) Multivariate methods; (6) Nonlinear methods; (7) Conditional simulations; (8) Scale effects and inverse problems.

Reviewer: Ivan Křivý (Ostrava)

##### MSC:

62M30 | Inference from spatial processes |

62-02 | Research exposition (monographs, survey articles) pertaining to statistics |

86A32 | Geostatistics |

62P99 | Applications of statistics |

86-02 | Research exposition (monographs, survey articles) pertaining to geophysics |

62H11 | Directional data; spatial statistics |