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.
- Version1.2.0
- R versionR (≥ 3.5)
- LicenseMIT
- Needs compilation?No
- Last release07/27/2025
Documentation
Team
Kinspride Duah
MaintainerShow author detailsYan Sun
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- Imports3 packages
- Suggests3 packages