Statistics and Data Analysis in Geochemical Prospecting - 1st Edition - ISBN: 9780444420381, 9781483289724

Statistics and Data Analysis in Geochemical Prospecting, Volume 2

1st Edition

Editors: R.J. Howarth
Hardcover ISBN: 9780444420381
eBook ISBN: 9781483289724
Imprint: Elsevier Science
Published Date: 1st January 1983
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Table of Contents


Editor's Foreword

Preface

List of Contributors

Part I. Techniques of Geochemical Data Processing and Interpretation

Chapter 1. Data Storage and Retrieval

Introduction

Data Storage and Retrieval Systems

Data Storage Media

Types of Data

Data Organization

Data Files

Structure of a Data Storage and Retrieval System

Programming Considerations

Generalized Database Systems

Summary

References

Chapter 2. Control Procedures in Geochemical Analysis

Introduction

The Statistical Basis of Analytical Quality Control

Laboratory Control Procedures

References

Chapter 3. Univariate Analysis

Introduction

Central Tendency and Dispersion

Histograms

Density Distribution

Fitting a Normal Distribution

Analysis of Variance

Group Separation

Probability Graphs

References

Chapter 4. Sampling Methodology

Introduction

Search Techniques

Analysis of Variance

Strategies for Optimum Sampling Design

Conclusion

References

Chapter 5. Mapping

Introduction

Types of Map

Class Selection Techniques

Point-Symbol Maps

Contour Maps

Three-Dimensional Views

Map Filtering Techniques

Cross-Correlation Maps

Multi-Element Maps

References

Chapter 6. Multivariate Analysis

Introduction

Case Study Data

Cluster Analysis

Correlation

Principal Components and Factor Analysis

Partial Correlation

Regression

Canonical Correlation

Discriminant Analysis

Sources Of Programs

References

Part II. A Selection of Geochemical Data Processing and Interpretation Methods in Use in Various Parts of the World

Chapter 7. Regression Analysis Applied to Interpretation of Geochemical Data at the Geological Survey of Sweden

Introduction

Method

Results

References

Chapter 8. Use of Pattern Classification Methods in Till Geochemistry 303

Introduction

Description of the Problem

Choice of Method

Graphical Methods

Example

Discussion

Acknowledgements

References

Chapter 9. Geochemical Characterization of Tin Granites in Northern Thailand

Introduction

Selection of Useful Elements

The Classification Problem

Determination of an Optimal Sampling Design

Target Map Calculation in Practice

References

Chapter 10. Statistical Models for Geochemical Anomalies

Introduction

Types of Models

Rank Approximation: Basis of the Method

Approximation of Statistical Distributions

Multi-Dimensional Regression Analysis

Additional Remarks

Conclusions

Acknowledgements

References

Chapter 11. Mathematical and Statistical Activity in North America

Introduction

Data Management

Search Theory

Sampling and Analytical Variability

Univariate Statistics

Surface Fitting

Multivariate Analysis

Deterministic Models

Discussion

References

Chapter 12. Geochemical Data Processing in Western Europe

Review

References

Chapter 13. Examples of Geochemical Data Processing in Africa

Introduction

Data Processing and the Interpretation of Geochemical Soil Sampling Results

Multi-Element High-Density Drainage Sampling

Multi-Element Drainage Reconnaissance on a Regional Scale

Processing and Interpretation of Airborne Geochemical Survey Data

Acknowledgements

References

Chapter 14. Geochemical Data Processing In Eastern Europe

Review

Bibliography

Appendix. Graphical Aids for Some Statistical Tests

Description

References

References Index

Subject Index

Description

Handbook of Exploration Geochemistry, Volume 2: Statistics and Data Analysis in Geochemical Prospecting aims to survey the techniques available for the quality control of laboratory data, storage and retrieval of field and laboratory information, statistical analysis of single- and multi-element data, and presentation of geochemical data as maps.

The selection first elaborates on data storage and retrieval, control procedures in geochemical analysis, and univariate analysis. Discussions focus on analysis of variance, density distribution, probability graphs, statistical basis of analytical quality control, laboratory control procedures, data storage media, data organization, programming considerations, and generalized data systems. The book then takes a look at sampling methodology, mapping, and multivariate analysis. Concerns cover correlation, cluster analysis, regression, partial correlation, class selection techniques, map filtering techniques, cross-correlation maps, strategies for optimum sampling design, and search techniques.

The manuscript elaborates on examples of geochemical data processing in Africa, mathematical and statistical activity in North America, statistical models for geochemical anomalies, geochemical characterization of tin granites in northern Thailand, and use of pattern classification methods in till geochemistry.

The selection is highly recommended for researchers interested in statistics and data analysis in geochemical prospecting.


Details

Language:
English
Copyright:
© Elsevier Science 1983
Published:
Imprint:
Elsevier Science
eBook ISBN:
9781483289724

Reviews

@qu:This fine handbook... is intended as a comprehensive reference for professional geologists, field geochemists and upper-level geology students with experience in computer applications to geochemical research and exploration data. If this indeed is the intention of the editor and authors, in my opinion they are right on target. @source: Chemical Geology


About the Editors

R.J. Howarth Editor