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BMEmapping: Spatial Interpolation using Bayesian Maximum Entropy (BME)
Provides an accessible and robust implementation of core BME
methodologies for spatial prediction. It enables the systematic integration
of heterogeneous data sources including both hard data (precise
measurements) and soft interval data (bounded or uncertain observations)
while incorporating prior knowledge and supporting variogram-based spatial
modeling. The BME methodology is described in Christakos (1990)
<doi:10.1007/BF00890661> and Serre and Christakos (1999)
<doi:10.1007/s004770050029>.
Documentation:
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
[aut, cre, cph],
Yan Sun [aut]