This class is used to store a set of samples spread out in a geographic area and allows several ways of accessing the data
This class stores numeric samples and uses Inverse distance weighting for interpolation
Creates a collection of generic samples.
KDTree is a class supporting KD-tree insertion, deletion, equality search, range search, and nearest neighbor(s) using double-precision floating-point keys.
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