Normal Score

Use the Normal Score option to transform data from any distribution so that the transformed values follow a standard (normal) Gaussian distribution. The transformation is performed using the quantile transformation with a target distribution being a Gaussian standard.

Figure 1: Schematic Transformation

The Normal Score transformation is used to transform from the grade distribution to a standard Gaussian distribution. This transformation preserves the ordering and also has a back transformation which allows for transforming from the "Gaussian space" to the grade units. Refer to the Normal Score Back option for details on how to transform block model Gaussian values to the original grade values.

This option can also be accessed by selecting the Normal Score button from the Gaussian Transformations toolbar.


Instructions

On the Block menu, point to Gaussian Transformations, then click Normal Score.

Settings

Use the Settings pane to define your specification file and scenario ID, as well as primary database information.

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 (.dns) 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. You can create multiple separate IDs for each DNS file.

  1. Select either a database or map file as your sample source.

    • To select a database, enable the option ISIS file, then select the file from the drop-down list. Click folder icon to select a file from another location.

      You can also select an ODBC link for database files found on site servers.

    • To select a map file, enable the option labelled Use Map File, then select the file from the drop-down list. Click the Browse button to select a file from another location.

  1. Map the correct fields by filling out the Samples Fields information.

    1. Sample group - Enter the name of the groups (database keys) to be loaded in the field. Wildcards (* multi-character wildcard and % single character wildcard) may be used to select multiple groups. Multiple groups only apply to Isis databases (ASCII map files consist of one group).

    2. Select the field containing the Grade values.

    3. Select the field that will hold the Normal score values.

  2. Enable Apply weights to select the database field containing the weights that can be used to build the grade distribution. Sample values are not changed by the weighting, only the relative importance in the distribution is adjusted. Leave this field blank if you do not want to apply any weighting.

  3. Enter or select a name for the file that will Save transformation table information.

    This field refers to the lookup table with the correspondence between the grade value and it's associated Gaussian transformation. The specified transformation table will be created during the transformation process and its values will be stored in an ASCII mapfile. The resulting file can be used later to back transform Gaussian values into a block a model to the corresponding grade. Refer to the Normal Score Back option for more information.

  4. Select Apply logarithm constant if you want to apply the base logarithm function to all values.

    Important:  In order for the logarithm to be defined all original values must be positive.

    The specified logarithm constant will be added to the calculated logarithm.

  5. Select Cut samples if you want to apply cut-offs to the values used in the transformation. You will need to specify a lower grade cut value (grades lower than this value are set to this value) as well as an upper grade cut value (grades above this value are set to this value).

Samples Filter

Use this pane to include any restrictions to your data by using the four specialised filters.

Follow these steps:

  1. Include any restrictions to your data by using the four specialised filters.

Reference distribution

Use this pane to setup a different dataset to create the transformation lookup table to use with the block model data. In this case all the transformation conversion is defined using the reference database, but the data that gets transformed is defined through the Samples Database section of the interface.

  1. Select Use Reference Distribution to enable the options on this pane.

  1. Select either a database or map file as your sample source.

    • To select a database, enable the option ISIS file, then select the file from the drop-down list. Click folder icon to select a file from another location.

      You can also select an ODBC link for database files found on site servers.

    • To select a map file, enable the option labelled Use Map File, then select the file from the drop-down list. Click the Browse button to select a file from another location.

  1. Map the correct fields by filling out the Samples Fields information.

    1. Sample group - Enter the name of the groups (database keys) to be loaded in the field. Wildcards (* multi-character wildcard and % single character wildcard) may be used to select multiple groups. Multiple groups only apply to Isis databases (ASCII map files consist of one group).

    2. Select the field containing the Reference distribution.

    3. Select the field that will hold the Weights.Sample values are not changed by the weighting, only the relative importance in the distribution is adjusted. Leave this field blank if you do not want to apply any weighting.


Click Apply and Run to begin the transformation . This will save your settings in to the Normal Score specification file (.dns) and start the transformation run.

Click OK to save your settings to the Normal Score specification file (.dns) without running the transformation.

Click Cancel to close the panel without saving any settings.