# All Lessons

Lessons are organized here by their primary classification. Many lessons could fall under multiple headings below.

# Methodology

- An Application of Bayes Theorem to Geostatistical Mapping (see source code on GitHub)
- A Simulation Approach to Determine the Cutting Level

# Data Management

# Data Transformation

# Representative Distributions

# Multivariate Statistics

# Variograms

- Experimental Variogram Tolerance Parameters
- Variogram Calculation for Tabular Deposits
- Transforming a Variogram of Normal Scores to Original Units

# Estimation

- Introduction to Choosing a Kriging Plan
- An Overview of Multiple Indicator Kriging
- Signed Distance Function Modeling with Multiple Categories

# Categorical Simulation

# Continuous Simulation

# Post Processing

# Mining Applications

- Checking Continuous Variable Realizations - Mining
- Change of Support and the Volume Variance Relation
- Calculation of High Resolution Data Spacing Models