Directional Weighting Gridding

This gridding method uses Inverse-Distance gridding, in which the value of each of the data points is weighted according to the inverse of its distance from the grid node being computed, taken to a user-selected power. The difference with the 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 grid node more than closer points perpendicular to the trend.

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

Disadvantages: Directional Weighting can apply directional trends even if there are none – be careful to check against your data.

 

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