All Lessons
Lessons are organized here by their primary classification. Many lessons could fall under multiple headings below.
Methodology
- Bayesian Updating for Combining Conditional Distributions
- An Application of Bayes Theorem to Geostatistical Mapping (see source code on GitHub)
- Combination of Multivariate Gaussian Distributions through Error Ellipses
- Multivariate Gaussian Distribution
- The Nugget Effect
- A Simulation Approach to Calibrate Outlier Capping
- The Multivariate Spatial Bootstrap
- The Decision of Stationarity
Data Management
Data Transformation
- Transforming Data to a Gaussian Distribution
- Sphereing and Min/Max Autocorrelation Factors
- Stratigraphic Coordinate Transformation
- Trend Modeling and Modeling with a Trend
Representative Distributions
Multivariate Statistics
- Cokriging with Unequally Sampled Data
- Gaussian Mixture Models
- Multidimensional Scaling (see source code on GitHub)
- Projection Pursuit Multivariate Transform
- Principal Component Analysis
- Aggregating Variables into a Super Secondary Variable
Variograms
- Transforming a Variogram of Normal Scores to Original Units
- The Pairwise Relative Variogram
- The Sill of the Variogram
- Variogram Calculation for Tabular Deposits
- Calculation and Modeling of Variogram Anisotropy
- Experimental Variogram Tolerance Parameters
Estimation
- Collocated Cokriging (see source code on GitHub)
- Choosing the Discretization Level for Block Property Estimation
- Implicit Boundary Modeling with Radial Basis Functions
- Introduction to Choosing a Kriging Plan
- Kriging with Constraints
- An Overview of Multiple Indicator Kriging
- Quantitative Kriging Neighborhood Analysis (QKNA)
- Signed Distance Function Modeling with Multiple Categories
Categorical Simulation
Continuous Simulation
Post Processing
Mining Applications
- Change of Support and the Volume Variance Relation
- Checking Continuous Variable Realizations - Mining
- Calculation of High Resolution Data Spacing Models
- Localization of Probabilistic Resource Models