Applied Geostatistics

Applied Geostatistics
Author: Edward H. Isaaks
Publisher:
Total Pages: 561
Release: 1989
Genre: Geology
ISBN:

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Univariate description. Bivariate description. Spatial description. Data sets. Estimation. Random function models. Global estimation. Point estimation. Ordinary kriging. Block kriging. Search strategy. Cross validation. Cokriging. Estimating a distribution. Change of support. Assessing uncertainty. Final thoughts.


Applied Geostatistics
Language: en
Pages: 561
Authors: Edward H. Isaaks
Categories: Geology
Type: BOOK - Published: 1989 - Publisher:

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Univariate description. Bivariate description. Spatial description. Data sets. Estimation. Random function models. Global estimation. Point estimation. Ordinary
Applied Geostatistics with SGeMS
Language: en
Pages: 302
Authors: Nicolas Remy
Categories: Science
Type: BOOK - Published: 2011-04-14 - Publisher: Cambridge University Press

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The Stanford Geostatistical Modeling Software (SGeMS) is an open-source computer package for solving problems involving spatially related variables. It provides
Geostatistics with Data of Different Support Applied to Mining Engineering
Language: en
Pages: 75
Authors: Marcel Antonio Arcari Bassani
Categories: Science
Type: BOOK - Published: 2021-08-09 - Publisher: Springer Nature

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This book explains the integration of data of different support in Geostatistics. There is a common misconception in the mining industry that the data used for
Geostatistics for Natural Resources Evaluation
Language: en
Pages: 502
Authors: Pierre Goovaerts
Categories: Mathematics
Type: BOOK - Published: 1997 - Publisher: Oxford University Press, USA

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This text provides an advanced introduction to the theory and applications of geostatistics, including tools for description, modeling spatial continuity, spati
Introduction to Geostatistics
Language: en
Pages: 276
Authors: P. K. Kitanidis
Categories: Science
Type: BOOK - Published: 1997-05-13 - Publisher: Cambridge University Press

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Engineers and applied geophysicists routinely encounter interpolation and estimation problems when analysing data from field observations. Introduction to Geost