The Directional Weighting method uses Inverse-Distance solid 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 Directional Weighting scheme is that you can specify a trend direction and strength, and the program will vary the weighting exponent so that points along the trend influence the node more than closer points perpendicular to the trend.
Advantages: This method has the same advantages as the Inverse-Distance modeling AND permits you to introduce directional bias to the modeling procedure.
Disadvantages: Directional Weighting can apply directional trends even if there are none – be careful.
Menu Options
- Direction: Enter the preferred direction, from 0 (north) to 180 (south) for the known trend. The program will extend the trend 180 degrees opposite of the single direction you declare.
- Bias Strength: Choose from Weak, Moderate, or Strong. In general, the lesser the strength, the wider the tolerance the program will use around the bias direction, and the weaker the weighting exponent for points outside the bias tolerance. Directional Weighting works uses three different weighting exponents in assigning a grid or solid model node value. The exponents used are based on the point’s bearing relative to the node. (Remember bias direction is considered bi-directional - the declared bearing + the bearing at 180 degrees opposite.)
- For Weak bias strength:
- Points in the bias direction +- 20 degrees are modeled using an exponent of 1.8,
- Points in the bias direction +- 25 degrees are modeled using an exponent of 1.9,
- All other points are modeled using an exponent of 2.0.
- For Moderate bias strength:
- Points in the bias direction +-15 degrees are modeled using an exponent of 1.8,
- Points in the bias direction +- 20 degrees are modeled using an exponent of 1.9,
- All other points are modeled using an exponent of 2.1.
- For Strong bias strength:
- Points in the bias direction +-10 degrees are modeled using an exponent of 1.8,
- Points in the bias direction +- 15 degrees are modeled using an exponent of 1.9,
- All other points are modeled using an exponent of 2.2.
- The greater the exponent value, the less influence distant points will have on the node.
Back to Solid Modeling Method Summary
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