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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "BMEmapping" in publications use:'
type: software
license: MIT
title: 'BMEmapping: Spatial Interpolation using Bayesian Maximum Entropy (BME)'
version: 1.2.2.9000
doi: 10.32614/CRAN.package.BMEmapping
abstract: 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) <https://doi.org/10.1007/BF00890661>,
  Serre and Christakos (1999) <https://doi.org/10.1007/s004770050029> and Duah (2025,
  2026) <https://doi.org/10.1016/j.spasta.2026.100974>.
authors:
- family-names: Duah
  given-names: Kinspride
  email: kinspride2020@gmail.com
  orcid: https://orcid.org/0009-0004-3990-7985
- family-names: Sun
  given-names: Yan
  email: yan.sun@usu.edu
repository: https://kinsprideduah.r-universe.dev
repository-code: https://github.com/KinsprideDuah/BMEmapping
commit: d12ceb10cf6a731d3fa173db0e568eb29c3033cb
url: https://github.com/KinsprideDuah/BMEmapping
date-released: '2026-05-22'
contact:
- family-names: Duah
  given-names: Kinspride
  email: kinspride2020@gmail.com
  orcid: https://orcid.org/0009-0004-3990-7985