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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>.

Versions across snapshots

VersionRepositoryFileSize
1.2.2 rolling linux/jammy R-4.5 BMEmapping_1.2.2.tar.gz 113.9 KiB
1.2.2 rolling linux/noble R-4.5 BMEmapping_1.2.2.tar.gz 113.7 KiB
1.2.2 rolling source/ R- BMEmapping_1.2.2.tar.gz 72.7 KiB
1.2.2 latest linux/jammy R-4.5 BMEmapping_1.2.2.tar.gz 113.9 KiB
1.2.2 latest linux/noble R-4.5 BMEmapping_1.2.2.tar.gz 113.7 KiB
1.2.2 latest source/ R- BMEmapping_1.2.2.tar.gz 72.7 KiB
1.2.2 2026-04-26 source/ R- BMEmapping_1.2.2.tar.gz 72.7 KiB
1.2.2 2026-04-23 source/ R- BMEmapping_1.2.2.tar.gz 72.7 KiB
1.2.2 2026-04-09 windows/windows R-4.5 BMEmapping_1.2.2.zip 116.8 KiB

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