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Geostatistics with Data of Different Support Applied to Mining Engineering

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Geostatistics with Data of Different Support Applied to Mining Engineering/ by Marcel Antonio Arcari Bassani, João Felipe Coimbra Leite Costa.
Author:	Arcari Bassani, Marcel Antonio.
other author:	Coimbra Leite Costa, João Felipe.
Description:	XI, 75 p. 49 illus., 45 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Mining engineering. -
Online resource:	https://doi.org/10.1007/978-3-030-80193-9
ISBN:	9783030801939

Geostatistics with Data of Different Support Applied to Mining Engineering
Arcari Bassani, Marcel Antonio.

Geostatistics with Data of Different Support Applied to Mining Engineering[electronic resource] /by Marcel Antonio Arcari Bassani, João Felipe Coimbra Leite Costa. - 1st ed. 2022. - XI, 75 p. 49 illus., 45 illus. in color.online resource. - Topics in Mining, Metallurgy and Materials Engineering,2364-3307. - Topics in Mining, Metallurgy and Materials Engineering,.

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.

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.

ISBN: 9783030801939

Standard No.: 10.1007/978-3-030-80193-9doiSubjects--Topical Terms:

811220
Mining engineering.

LC Class. No.: TN1-997

Dewey Class. No.: 622

Geostatistics with Data of Different Support Applied to Mining Engineering
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