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The gridding code (spec_driver_fits) implements a classic method of gridding, by picking a convolution kernel, and weighing samples by their emprically determined RMS.
The gridding code (spec_driver_fits) implements a classic method of gridding, by picking a convolution kernel, and weighing samples by their emprically determined RMS.
Another approach is to study kriging (e.g. https://en.wikipedia.org/wiki/Kriging) if that's going to help us. A recent JOSS paper by Molinsky on Pyinterpolate made me aware of this approach. See also https://raw.githubusercontent.com/openjournals/joss-papers/joss.02869/joss.02869/10.21105.joss.02869.pdf
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