Horizontal Biasing Solid Modeling

The Horizontal Biasing method of solid modeling uses Inverse-Distance modeling, in which the value of each of the data points is weighted according to the inverse of its distance from the voxel node being computed, taken to a user-selected power. The difference with Horizontal Biasing is that the user can define a vertical distance from each voxel node beyond which points will no longer be used in computing the node value. This allows the user to horizontally bias the interpolation process such that stratiform deposits such as sand and gravel may be modeled more effectively.

Advantages: This method has the same advantages as the Inverse-Distance modeling AND permits you to introduce an elevation bias to the modeling procedure.

Disadvantages: Horizontal Biasing will make the modeling process more localized.


If you establish vertical and horizontal cutoff distances that result in some voxels having no control points to draw from for G value interpolation, the program will assign the node the value entered under the Undefined Node Values setting at the bottom of the Solid Modeling Options window.


Back to Solid Modeling Method Summary

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