Inverse distance weighting is a geostatistical interpolation technique that estimates unknown values at certain locations based on the values of surrounding known points, giving more weight to closer points. This method is widely used in data collection and quality control to ensure accurate spatial analysis, allowing meteorologists to create continuous surfaces from discrete measurements while accounting for spatial variability.
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