Estimation Domain Analysis

This 1-day course offers a complementary understanding of the use of geostatistics as a tool to question and validate the domaining decisions taken to guide the estimation process.

Key Features

Exploratory Data Analysis (‘EDA’) refers to the various geostatistical analyses used to describe the spatial and statistical characteristics of a variable’s underlying distribution. EDA may include univariate or multivariate analysis, and/or plotting of histograms, base maps, scatter plots, Q-Q plots, h-scatter plots, variograms, variogram maps, etc.

Border effect and Contact Analysis are complementary tools used to help qualify how these domains should be treated at estimation stage (hard/soft boundary, definition of transition domains etc.)

Who should attend

This course is aimed at resource geologists wanting to gain an appreciation of how the geostatistical framework can help validate their domaining decisions.

Course content

  • Automatic Domaining: gives a partition of the dataset based on statistical criteria
  • Exploratory Data Analysis (EDA): helps validating the domain modeling decisions underlying the production of a resource estimate- Univariate/multivariate analysis,- Based on histograms, base maps, scatter plots, Q-Q plots, h-scatter plots, variograms, variogram maps, etc.
  • Contact Analysis and Border Effect: helps qualify how the domains should be treated at the estimation stage (hard/soft boundary, definition of transition domains etc.).

Prerequisites

None. This course is an ideal introduction to coal mining geostatistics.