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Weighted Average Interpolator

All other factors equal, the closer a data point is to a grid node, the more weight the weighted average interpolator gives it in determining the grid node value. There are two types of weighted average interpolators included in WinPICS.

Exact Interpolator

Honors input data values exactly when data points coincide with grid nodes. Where data points do not coincide perfectly with grid nodes, grid node values are interpolated. You can increase the likelihood of your data being honored by increasing the grid density. The following gridding methods are exact interpolators:

Inverse Distance Weighting – When power to distance is set to '5' or more and the smoothing factor is set to zero.
Triangulation – When interpolation is set to linear interpolation.
Some exact interpolators have smoothing options that cause them to become smoothing interpolators.

Smoothing Interpolator

Gives weight to neighboring data points, which smoothes out small anomalies. The user determines the amount of weight. The following gridding methods are examples of smoothing interpolators:

Inverse Distance Weighting – If power to distance is small and/or when a smoothing factor is specified.
Set the interpolator in the Gridding dialog box by selecting Kriging/Collocation, Inverse Distance Weighting, Minimum Curvature, or Triangulation under Gridding Method in the upper right-hand corner of the window.

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