Geostatistics : modeling spatial uncertainty
Author(s)
Bibliographic Information
Geostatistics : modeling spatial uncertainty
（Wiley series in probability and mathematical statistics, . Applied probability and statistics）
Wiley, c1999
- : alk. paper
Available at / 46 libraries
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Library, Institute of Developing Economies, Japan External Trade Organization図
: alk. paperT||55||G11669482
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Hiroshima University Central Library, Interlibrary Loan
: alk. paper450:C-45/HL4010004000408959
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Hokkaido University, Faculty and Graduate School of Engineering図書
: alk. paper550.72/C4373580136623
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: alk. paperNDC9:450/C436270324091
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Note
"A Wiley-Interscience publication."
Includes bibliographical references (p. 650-685) and index
Description and Table of Contents
Description
A novel, practical approach to modeling spatial uncertainty. This book deals with statistical models used to describe natural variables distributed in space or in time and space. It takes a practical, unified approach to geostatistics-integrating statistical data with physical equations and geological concepts while stressing the importance of an objective description based on empirical evidence. This unique approach facilitates realistic modeling that accounts for the complexity of natural phenomena and helps solve economic and development problems-in mining, oil exploration, environmental engineering, and other real-world situations involving spatial uncertainty. Up-to-date, comprehensive, and well-written, Geostatistics: Modeling Spatial Uncertainty explains both theory and applications, covers many useful topics, and offers a wealth of new insights for nonstatisticians and seasoned professionals alike. This volume: 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 techniques and digital models of uncertainty.
Features more than 150 figures and many concrete examples throughout the text. Includes extensive footnoting as well as a thorough bibliography. Geostatistics: Modeling Spatial Uncertainty is the only geostatistical book to address a broad audience in both industry and academia. 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.
Table of Contents
Preliminaries. Structural Analysis. Kriging. Intrinsic Model of Order k. Multivariate Methods. Nonlinear Methods. Conditional Simulations. Scale Effects and Inverse Problems. Appendix. References. Index.
by "Nielsen BookData"