Geostatistics with data of different support applied to mining engineering / Marcel Antonio Arcari Bassani, João Felipe Coimbra Leite Costa.
Arcari Bassani, Marcel Antonio, author.; Coimbra Leite Costa, João Felipe, author.
2022
QE33.2.S82 A73 2022
Available Online

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Title Geostatistics with data of different support applied to mining engineering / Marcel Antonio Arcari Bassani, João Felipe Coimbra Leite Costa.
Author Arcari Bassani, Marcel Antonio, author.
ISBN 9783030801939 (electronic bk.)
3030801934 (electronic bk.)
9783030801922
3030801926
DOI https://doi.org/10.1007/978-3-030-80193-9
Published Cham : Springer, [2022]
Copyright ©2022
Language English
Description 1 online resource (84 pages) : illustrations (chiefly color)
Item Number 10.1007/978-3-030-80193-9 doi
Call Number QE33.2.S82 A73 2022
Dewey Decimal Classification 550.72/7
Summary 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 estimation/simulation should have the same size or support. However, Geostatistics provides the tools to integrate several types of information that may have different support. This book aims to explain these geostatistical tools and provides several examples of applications. The book is directed for a broad audience, including engineers, geologists, and students in the area of Geostatistics.
Bibliography, etc. Note Includes bibliographical references.
Access Note Access limited to authorized users.
Source of Description Description based on print version record.
Added Author Coimbra Leite Costa, João Felipe, author.
Series Topics in mining, metallurgy and materials engineering.
Available in Other Form Geostatistics with Data of Different Support Applied to Mining Engineering.
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Chapter 1
Introduction
Chapter 2
Kriging with data of different support
Chapter 3
Simulation with data of different support
Chapter 4
Change of support in the variogram
Chapter 5
Case study of kriging with data of different support
Chapter 6
Case study of direct sequential simulation with data of different support
Chapter 8
Case study of sequential indicator simulation with data of different support
Chapter 9
Conclusions.

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