GAUSANAM Process

To access this process:

See this process in the Command Table.

Process Overview

For mosaic-style modelling, all variograms are directly proportional, so indicator kriging will provide a correct solution. Diffusion-style models are a bigger challenge in that co-kriging is required as the model is discretely gaussian in nature. The important point is that the gaussian model will retain a gaussian distribution when the support change occurs (from points to blocks) as a result of Gaussian Anamorphosis.

The gaussian anamorphosis is a mathematical function which transforms a variable Y with a gauss­ian distribution in a new variable Z with any distribution. From a pragmatic viewpoint, this means transforming a non-Gaussian distribution into a Gaussian distribution (“anamorphosis” means “transformation”).

The Gaussian Anamorphosis Modelling functionality is designed to:

  • model the histogram of your raw dataset (Anamorphosis function),
  • transform a Raw Variable into a Gaussian Variable (normal score transformation) that will be used in the simulation processes, and;
  • calculate grade-tonnage curves

Input Files

Name

Description

I/O Status

Required

Type

SAMPLES

A Datamine file that contains sample positional information and supporting attributes.

Input

Yes

Undefined

Output Files

Name

I/O Status

Required

Type

Description

GRAPH

Output

No

Undefined

A file containing the data required to construct scatter plot and histogram graphs relating to a locally-conditioned SMU model.

STATS

Output

No

Undefined

A file containing summary statistical data (in Datamine binary format) relating to a locally-conditioned SMU model.

Fields

Name

Description

Source

Required

Type

Default

GRADE

The grade field (present in the samples file) that will be considered during anamorphosis.

IN

Yes

Alphanumeric

Undefined

WEIGHT

An optional weighting field.

IN

No

Alphanumeric

Undefined

Example

!GAUSANAM  &SAMPLES(samples),  &GRAPH(s_graph),   &STATS(s_stats)

*GRADE(AU),   *WEIGHT(DENSITY)

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