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    Kojonkoski

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    It is good to know to find interesting documentation, packages, etc. that kriging is often called “Gaussian Process Regression”. In python
    The usage of the class is inspired by the scipy.interpolate classes. “”” import time import numpy as np from scipy.spatial.distance import squareform from
    This is really usefull when a whole map is interpolated. Using Kriging, you can also produce a map showing in which regions the interpolation is more certain.
    Two Python packages that can be used for kriging include scikit-learn and pykrige . The former package works best when the input data has a WGS 84 projection,

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