Data interpolation is the process of estimating unknown values that fall within the range of a discrete set of known data points. This technique is vital in geophysics for creating continuous surface models and making predictions about spatial data, especially when direct measurements are sparse or difficult to obtain. It helps in enhancing the understanding of geophysical phenomena by filling gaps in data, thereby supporting more accurate analyses and interpretations.
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