Radial basis functions (RBF) are a type of function used in spatial interpolation that depend only on the distance from a center point. They are particularly useful for creating smooth surfaces and can be applied in various contexts, such as geostatistics and machine learning. By employing RBFs, one can effectively estimate values at unknown locations based on known data points, providing a flexible approach to modeling complex spatial phenomena.
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