Spatial Interpolation using Bayesian Maximum Entropy (BME) R package BMEmapping version 1.2.2 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>. Software Depends: R (>= 3.5) Imports: ggplot2, gridExtra, mvtnorm, stats, utils Suggests: knitr, rmarkdown, testthat (>= 3.0.0) Kinspride Duah <kinspride2020@gmail.com> Comprehensive R Archive Network (CRAN) Kinspride Duah [aut, cre, cph] (ORCID: <https://orcid.org/0009-0004-3990-7985>), Yan Sun [aut] MIT + file LICENSE (https://CRAN.R-project.org/package=BMEmapping/LICENSE) 2025-08-19 application/tgz https://CRAN.R-project.org/package=BMEmapping doi:10.32614/CRAN.package.BMEmapping