Basic Description: This operation fills in all pixels marked as NaN (not a number).
Technical Details: Fills voids (NaN pixels) using sophisticated interpolation techniques. The techniques work best when interpolating void areas surrounded by data values, but may also be used to extrapolate void areas at the edges of data sets. This is useful as final step before export or as a pre-processing step for operations that are not resistant to void samples.
Instructions: After choosing a selection method and making your selection on the survey, choose a method from the drop-down menu. See descriptions of each Method below.
Methods:
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Basic
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Square
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Linear 2
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Linear 4
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Spring - Uses a spring metaphor. Assumes springs (with a nominal length of zero) connect each node with every neighbor (horizontally, vertically, and diagonally). Since each node tries to be like its neighbors, extrapolation is as a constant function where this is consistent with the neighboring nodes.
