This package provides high-performance implementations of Kriging estimators introduced by Matheron 1971, and further developed by various geostatisticians. As the most general form of estimation with covariance/variogram models, Kriging does not require distributional assumptions, is well-defined in general Hilbert spaces, and is unbiased. These properties make Kriging a quite useful method for estimation with real world data. Currently, the following Kriging variants are implemented:
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] add KrigingEstimators
This package is part of the GeoStats.jl framework.
For examples of usage, please check the main documentation.
If you have any questions, please contact our community on the gitter channel.
25 days ago