Statistical Evaluations in Exploration for Mineral Deposits
Statistical Evaluations in Exploration for Mineral Deposits
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In this review of Statistical Evaluations in Exploration for Mineral Deposits the bottom line is clear: this is a practical, example-driven manual for geologists, mining engineers, and resource economists who need to turn large exploration datasets into sound decisions. The authors present statistical methods geared specifically to mineral exploration scenarios, making the book a useful companion for field teams and project analysts. The single biggest reason to buy is the book's focus on applying statistical treatment to data gathered during exploration so readers can assess project economics with confidence.
Key Features
- Focused application: The text concentrates on statistical methods tailored to mineral deposit exploration so readers can apply techniques directly to their datasets.
- Practical examples: Realistic example problems illustrate methodology step by step, helping practitioners translate theory into field practice.
- Complementary volume: The book is designed to be used with Economic Evaluations in Exploration, providing a broader framework for economic assessment.
- Data-oriented guidance: Emphasis on treatment of abundant exploration data supports robust evaluation of project viability and planning decisions.
- Targeted for professionals: Language and examples are suited to mining professionals and analysts who need actionable statistical approaches rather than abstract theory.
Who It's For
Geologists, mining engineers, and resource economists conducting site evaluations or preparing feasibility studies will find this book directly relevant. It is best for readers who already work with exploration datasets and want a practical guide to the statistical tools that inform economic and technical decisions.
Researchers or students seeking an introductory statistics textbook without mineral exploration context should look elsewhere; the book assumes some familiarity with exploration workflows and focuses on domain-specific application rather than general statistical pedagogy.
Pros & Cons
Pros
- Practical, domain-specific examples make it straightforward to apply methods to real exploration datasets.
- Complements an economic evaluation volume to provide a fuller project assessment toolkit.
- Concentrated treatment of data handling improves the ability to evaluate economic success of projects.
Cons
- The coverage assumes familiarity with exploration processes, so beginners in statistics may need supplementary introductory material.
Specifications
| Title | Statistical Evaluations in Exploration for Mineral Deposits |
| Authors | Friedrich-Wilhelm Wellmer, D. Large |
| Subject | Statistical methods for mineral exploration |
| Companion volume | Economic Evaluations in Exploration |
| Use case | Evaluation of exploration data and project economics |
| Audience | Geologists, mining engineers, resource economists |
Our Verdict
Statistical Evaluations in Exploration for Mineral Deposits is a solid, application-focused resource for professionals who must interpret large exploration datasets and judge project economics. Its practical examples and link to a companion economic volume make it good value for teams that need domain-specific statistical guidance rather than a general statistics primer.
Frequently Asked Questions
Does this book include practical examples?
Yes. The book illustrates methods with practical examples designed to demonstrate application to exploration datasets.
Is this suitable for beginners in statistics?
It is best suited to readers with some familiarity with exploration work; beginners may need an introductory statistics text first.
Do I need the companion volume?
The companion Economic Evaluations in Exploration complements this book to provide a fuller view of project economic assessment but is not strictly required to use the statistical methods.
Editor's Take
A practical, application-focused resource for geologists and mining engineers that uses real examples to show how statistical methods improve evaluation of exploration data and project economics.

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