Geostatistics provides many different tools for specific problems in spatial prediction. These tools come from many fields of application and are documented in many forms; however, there are few places for the geomodeler to find specific advice on important decisions in geostatistics. Geostatistics Lessons is a collection of brief lessons providing guidance in geostatistical modeling.
It is not possible to consider all geological situations, problem settings, project goals and data. Nevertheless, there is value in experienced geostatisticians publishing their belief of what constitutes best practice. Those beliefs will change as experience is gained; Geostatistics Lessons will be updated as new lessons are authored, revised and reviewed.
- Conditioning by Kriging
- Collocated Cokriging (see source code on GitHub)
- Choosing the Discretization Level for Block Property Estimation
- Permanence of Ratios
- The Pairwise Relative Variogram
For more information on Geostatistics Lessons, see the About page.