Methods of interpolation
Interpolation in spatial analysis and modeling refers to the process of estimating unknown values at unsampled locations based on known values from surrounding locations. Various methods of interpolation are employed to predict spatial data, each suited to different types of data distribution and spatial patterns.
1. Nearest Neighbor Interpolation: This method assigns the value of the closest known data point to the unknown point. It is simple but _________ __________ _______ ________ _________ _______ _____ ___ _____ ______ ____ ___.
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