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Geostatistical Simulation

Name: Geostatistical Simulation
Brand: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
SKU: 9783642075827
Price: 105.43 EUR
Availability: InStock

Models and Algorithms

Автор: Christian Lantuejoul

Език:

Корици: С меки корици

Издател: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Наличност: Външен склад

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105.43 € 206.21 лв

This book deals with the estimation of natural resources using the Monte Carlo methodology. It inclu...

Информация за книгата

Автор

Christian Lantuejoul

Език

Английски език

Корици

Книга - С меки корици

Издадена

2010

страници

256

EAN

9783642075827

ISBN

3642075827

Enbook ID

01652701

Издател

Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Теглоt

486

Размери

155 x 235 x 19

Пълно описание

This book deals with the estimation of natural resources using the Monte Carlo methodology. It includes a set of tools to describe the morphological, statistical and stereological properties of spatial random models. Furthermore, the author presents a wide range of spatial models, including random sets and functions, point processes and object populations applicable to the geosciences. The text is based on a series of courses given in the USA and Latin America to civil, mining and petroleum engineers as well as graduate students in statistics. It is the first book to discuss the geostatistical simulation techniques in such a specific way.Within the geoscience community the estimation of natural resources is a challenging topic. The difficulties are threefold: Intitially, the design of appropriate models to take account of the complexity of the variables of interest and their interactions. This book discusses a wide range of spatial models, including random sets and functions, point processes and object populations. Secondly,the construction of algorithms which reproduce the variability inherent in the models. Finally, the conditioning of the simulations for the data, which can considerably reduce their variability. Besides the classical algorithm for gaussian random functions, specific algorithms based on markovian iterations are presented for conditioning a wide range of spatial models (boolean model, Voronoi tesselation, substitution random function etc.) This volume is the result of a series of courses given in the USA and Latin America to civil, mining and petroleum engineers, as well as to gradute students is statistics. It is the first book to discuss geostatistical simulation techniques in such a systematic way.

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Geostatistical Simulation

Models and Algorithms

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