Package: BMEmapping
Type: Package
Title: Spatial Interpolation using Bayesian Maximum Entropy (BME)
Version: 1.2.2.9000
Authors@R: c(
    person("Kinspride", "Duah", email = "kinspride2020@gmail.com", 
    role = c("aut", "cre", "cph"), comment = c(ORCID = "0009-0004-3990-7985")),
    person("Yan", "Sun", email = "yan.sun@usu.edu", role = "aut"))
Maintainer: Kinspride Duah <kinspride2020@gmail.com>
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>, Serre and Christakos (1999)
        <doi:10.1007/s004770050029> and Duah (2025, 2026)
        <doi:10.1016/j.spasta.2026.100974>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
URL: https://github.com/KinsprideDuah/BMEmapping
BugReports: https://github.com/KinsprideDuah/BMEmapping/issues
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.3
Suggests: dplyr, ggspatial, knitr, maps, rmarkdown, scales, testthat
        (>= 3.0.0), tidyr
Config/testthat/edition: 3
Imports: ggplot2, gridExtra, gstat, sf, mvtnorm, stats, utils
Depends: R (>= 3.5)
VignetteBuilder: knitr
Config/Needs/website: rmarkdown
Config/pak/sysreqs: libabsl-dev cmake libgdal-dev gdal-bin libgeos-dev
        libssl-dev libproj-dev libsqlite3-dev libudunits2-dev
Repository: https://kinsprideduah.r-universe.dev
Date/Publication: 2026-05-22 02:09:52 UTC
RemoteUrl: https://github.com/kinsprideduah/bmemapping
RemoteRef: HEAD
RemoteSha: d12ceb10cf6a731d3fa173db0e568eb29c3033cb
NeedsCompilation: no
Packaged: 2026-06-21 06:47:49 UTC; root
Author: Kinspride Duah [aut, cre, cph] (ORCID:
    <https://orcid.org/0009-0004-3990-7985>),
  Yan Sun [aut]