Create Isoshells - Estimation Parameters

Describing fields and properties


Create Isoshells - Estimation Parameters

To access this dialog:

The Estimation Parameters tab allows you to specify the parameters in the Estimation Search Ellipsoid, and select the interpolation algorithm used to estimate the values which lie between samples - continuous isolevels only. More....

Field Details:

Estimation Search Ellipsoid: For a point in 3D space to have a realistic estimated value, at least 3 original sample points must fall within the search ellipse centered on that estimation point. A maximum of 10 samples is permitted - if there are more than 10 samples, then the nearest 10 samples to the point being estimated are selected. In order to achieve anisotropy for both Continuous and Categorical isolevel types, you can define different radii and orientations for each axis. Orientations are defined by specifying rotations in degrees (-360 to 360) for up to 3 axes. Search volumes for grade estimation: more...

Radii: allows you to define the radius values of the Estimation Search Ellipsoid in the X, Y and Z axes. Type a value in the Radius box for each axis shown in the Axis column.

Rotations: allows you to define the orientation of the search ellipse by specifying one, two or three rotations that are applied successively. The rotation angle, and the axis about which the rotation is performed can be specified.

Estimation Method: allows you to specify the interpolation algorithm used to estimate values between samples for Continuous isolevel types. Grade Estimation Methods: more....

Inverse Distance Weighting: estimated values on a regular grid are calculated by weighting each sample by the inverse power of its distance from each grid point. It is faster than the Ordinary Kriging estimation method, however, unlike Ordinary Kriging, it does not take account of the spatial relationship between samples.

Estimate Power: allows you to define the power, of which the inverse is used to calculate estimated values through the weighting of each sample. If set to zero, then the arithmetic mean of samples is calculated.

Ordinary Kriging: takes account of the spatial relationship between samples, and has the advantage of adjusting the weights to compensate for the clustering of samples. The variogram model it uses has a zero nugget variance, with ranges and orientation defined by the search volume. 

Restore: after generating isoshells by clicking OK, clicking Restore allows parameters, which are automatically saved, to be restored.

OK: generates isoshells using the parameters which you have specified.

Cancel: closes the Create IsoShells dialog without saving any parameters.

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Search Volumes for Grade Estimation

Grade Estimation Methods

Creating Isoshells

Create Isoshells Dialog - Input

Create Isoshells Dialog - Condition

Create Isoshells Dialog - Volume

Create Isoshells Dialog - Output

Isoshells Report Dialog