Introduction to Mining Geostatistics : Intuitive Applications With Excel and R
Book Details
Format
Paperback / Softback
ISBN-10
0443314802
ISBN-13
9780443314803
Publisher
Elsevier - Health Sciences Division
Imprint
Elsevier - Health Sciences Division
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Sep 1st, 2025
Print length
448 Pages
Product Classification:
Mining industryGeology & the lithosphereEconomic geology
Ksh 21,950.00
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Introduction to Mining Geostatistics: Intuitive Applications with Excel and R is a practical and accessible guide to geostatistical techniques in mineral exploration, with a strong focus on reserves estimation. Designed for students, researchers, and industry professionals, this book blends fundamental concepts of theory with hands-on applications, using Excel and R to simplify complex analyses. Key topics include:Essential Statistical Foundations – Master core data analysis techniques for ore reserves estimation. Sampling Strategies & Error Analysis – Minimize uncertainty and improve data reliability. Spatial Analysis & Kriging – Use variograms, covariance functions, and Kriging algorithms to estimate unknown values from borehole data. Multivariate Geostatistics – Model interdependent variables to enhance accuracy and predictive power. Stochastic Simulation – Explore alternative estimation methods for risk assessment and scenario analysis. Reserve Classification & Reporting – Understand global classification systems and key reserve estimation parameters. Filled with real-world case studies and practical examples, this book bridges theory and application, making geostatistics intuitive and approachable. Whether you're optimizing exploration projects, improving resource estimates, or conducting economic risk assessments, this guide equips you with the tools to make informed decisions.
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