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Introduction to Mining Geostatistics
Intuitive Applications with Excel and R
Engleski
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Introduction to Mining Geostatistics: Intuitive Applications with Excel and R introduces the basic concepts of geostatistics and their application to mineral exploration and other geoscientific problems, focusing on the estimation of reserves of a mineral deposit. The authors begin with an introduction to the basic concepts of ore reserves estimation as well as basic statistics and exploratory data analysis. An exploration of variograms and structural analysis of a random function is followed by a look at theoretical variogram models and variogram fitting. The chapters then review estimation and kriging along with estimation errors and validation. Simulations are introduced and followed by modeling for geotechnical parameters. The final chapter includes several case studies to help illustrate and crystallize the preceding concepts. This valuable resource offers fundamental support for those working in mining geostatistics with Excel and R.
- Templated spreadsheet examples and exercises in Excel and R for accessible understanding
- Provides geometric instead of algebraic representation wherever possible
- Detailed visualization of theory throughout the chapters
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