Hybrid Gridding

The Hybrid gridding method is used to employ two or more different gridding methods in estimating a surface, with an option to weight the methods differently. For example, if you were to select Inverse Distance with a weighting factor of "1" and Triangulation with a weighting factor of "3", then the resulting surface would give the triangulation method 3 times the weighting of the inverse distance.

Here’s how it works: The program will create a grid model for the data using each selected algorithm, multiply the grid node values in each grid model by the weighting factor assigned to that method ("1" for a weighting factor of "1", "2" for a factor of "2", etc.), add all of the grid models together, and divide by the sum of the weighting factors.

Advantages: This enables you to utilize the advantages of many of the algorithms for a single surface.

Disadvantages: Any problems with a particular method may be magnified if it’s used (and weighted highly) with a data set for which it’s not well suited.

Method: Insert a check in as many of the gridding methods you wish to utilize in the Hybrid gridding.
Weighting Factor: For each selected algorithm, click on its Weighting Factor to assign that method a real number factor.

! Note that any algorithm-specific settings (such as Trend Polynomial order or Inverse-Distance quadrant-based searching) will be read from settings established under the main algorithm radio buttons.

Back to Grid Method Summary

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