Methods of interpolation
Interpolation methods in spatial analysis and modeling are techniques used to estimate values at unknown locations within a study area based on known values sampled at discrete locations. These methods are essential for various applications such as geographic information systems (GIS), remote sensing, environmental modeling, and more. Here are some common interpolation methods:
1. Inverse Distance Weighting (IDW): IDW assumes that the influence of a sample point decreases with distance. It calculates the interpolated value as a weighted average of surrounding sample points, where weights are inversely proportional ________ __________ _________ __________ __________.
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