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BMEmapping  

Spatial Interpolation using Bayesian Maximum Entropy (BME)
View on CRAN: Click here


Download and install BMEmapping package within the R console
Install from CRAN:
install.packages("BMEmapping")

Install from Github:
library("remotes")
install_github("cran/BMEmapping")

Install by package version:
library("remotes")
install_version("BMEmapping", "1.2.2")



Attach the package and use:
library("BMEmapping")
Maintained by
Kinspride Duah
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-05-13
Latest Update: 2025-07-27
Description:
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>.
How to cite:
Kinspride Duah (2025). BMEmapping: Spatial Interpolation using Bayesian Maximum Entropy (BME). R package version 1.2.2, https://cran.r-project.org/web/packages/BMEmapping. Accessed 17 Jul. 2026.
Previous versions and publish date:
0.3.0 (2025-05-13 10:40), 1.0.0 (2025-07-02 04:40), 1.2.0 (2025-07-27 07:10), 1.2.2 (2025-08-19 19:20), (2026-07-13 09:11)
Other packages that cited BMEmapping R package
View BMEmapping citation profile
Other R packages that BMEmapping depends, imports, suggests or enhances
Complete documentation for BMEmapping
Functions, R codes and Examples using the BMEmapping R package
Full BMEmapping package functions and examples
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