Stepwise Gaussian Back

Use the Stepwise Gaussian Back option to use an existing Stepwise Gaussian transformation lookup table and transform the block model values back to grade Gaussian models.

The transformation will be performed using conditioned variables (a maximum of 2) and a primary variable. The primary variable could be a single Gaussian model of the mean or multiple realisations of a grade variable (modelled in Gaussian units). The conditioned variables will also be in Gaussian units.

This option can also be accessed by selecting the SG Back button from the Gaussian Transformations toolbar.

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Instructions

On the Block menu, point to Gaussian Transformations, then click Stepwise Gaussian Back.

Follow these steps:

1. Enter a name for the Specification file, or select it from the drop-down list. The drop-down list displays all files found in the current working directory that have the (.bsc) extension. Click the Browse icon to select a file from another location.

   

2. Select a Scenario ID. To create a new ID, click the New icon as shown below, and provide a unique name for the current panel settings.

   

3. Select the Block model from the drop-down list. Click the Browse icon to select a file from another location.

4. Select Use single conditioning distribution to use the same conditioning variable for each one of the models of your secondary variable (second conditioned variable). You will need to specify the variable in which the condition distribution will be stored. The drop-down list displays all of the block model variables contained in the chosen block model.

5. Select Save grade values to transform the values from Gaussian units to grade units. If this check box is checked, then you will need to specify the variable in which to store the transformed units.

6. Select Use First Conditioned Variable and Use Second Conditioned Variable to enable the grids used to define the variables that will be used to transform the conditioned distribution.

7. Select the Conditioning Input Gaussian and Input Gaussian variables which are in Gaussian units. The transformed values will be stored in the specified Output Grade variable.

   Multiple pairs can either be defined manually or defined by clicking the Set names button.

   Tip

   Clicking the Set names button will cause the Set variable names for automatic generation panel to be displayed.

   

   1. Enter a Prefix for the base name of the variables.

   2. Enter an Initial suffix to be used as the starting number for each variable name.

   3. Enter the minimum Width for the suffix. For example, if the width is '3', and the initial suffix is '1', then the complete first suffix will be '001'.

   4. Set the starting and ending From realisation / To realisation indices. These fields are used to establish the number of variables names that will be automatically filled in the Block Model Variables Selection grid.

   5. Click Close to return to the Block Model Normal Score Back Transformation interface.

   6. Click the Generate button to create the variable names using the definitions setup on the Set variable names for automatic generation panel.

   7. The Clear button will remove the variable names from the grid.

8. Enable Create block model output grade variables if the variables listed in the grid do not already exist in the block model. Select the numeric type for the new variables by choosing either float or double.

9. Select the Transformation table that will be used to transform the existing Gaussian values. The name of the transformation table can either be manually entered or selected from the drop-down list.

Block Selection

Use this panel to set up various block selection options.

Select any of the options to limit the blocks used.