Nonparametric Geostatistics

1. Front Matter

   Pages i-xiv

   PDF

2. Introduction

   • Stephen Henley

   Pages 1-8

3. Geostatistics

   • Stephen Henley

   Pages 9-34

4. The Nonparametric Approach

   • Stephen Henley

   Pages 35-65

5. Nonparametric Geostatistical Estimation

   • Stephen Henley

   Pages 66-104

6. Mining Applications

   • Stephen Henley

   Pages 105-124

7. Further Developments

   • Stephen Henley

   Pages 125-132

8. Summary

   • Stephen Henley

   Pages 133-136

9. Back Matter

   Pages 137-145

   PDF

The ideas in this book have been developed over the past three or four years while I was working at the Institute of Geological Sciences and later for Golder Associates. During that time all of the geological modelling and resource estimation studies I participated in had data that were non-ideal in one respect or another (or just plain 'dirty'): the standard ways of handling the data with kriging or with simpler parametric methods gave reason­ able results, but always there were nagging doubts and some lack of confidence because of the corners that had to be cut in generat­ ing a model. The bimodal distribution that was assumed to be 'close enough' to normal; the pattern of rich and poor zones that was not quite a trend yet made the data very non-stationary; and the many plotted variograms that would not fit any standard model variogram: these all contributed to the feeling that there should be something that statistics could say about the cases where hardly any assumptions could be made about the properties ofthe parent population.

• geostatistics
• statistics

• Mineral Industries Computing Ltd, Leighton Buzzard, UK

  Stephen Henley

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