Geostatistics Lessons
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.
Recent Lessons
- Kriging Weights in the Presence of Redundant Data
- Locally Varying Anisotropy
- Quantitative Kriging Neighborhood Analysis (QKNA)
- Kriging with Constraints
- Categorical Variable Distributions in Geostatistics
Topics
Methodology
Data Management
Data Transformation
Representative Distributions
Multivariate Statistics
Variograms
Estimation
Categorical Simulation
Continuous Simulation
Post Processing
Mining Applications
Petroleum Applications
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