Package: geocmeans
Type: Package
Title: Implementing Methods for Spatial Fuzzy Unsupervised
        Classification
Version: 0.3.4.1.9000
Authors@R: c(
    person("Jeremy", "Gelb", email = "jeremy.gelb@ucs.inrs.ca",role = c("aut", "cre"), comment = c(ORCID = "0000-0002-7114-2714")),
    person("Philippe", "Apparicio", email="philippe.apparicio@ucs.inrs.ca", role=c("ctb"), comment = c(ORCID = "0000-0001-6466-9342"))
    )
Maintainer: Jeremy Gelb <jeremy.gelb@ucs.inrs.ca>
Imports: ggplot2 (>= 3.2.1), tmap (>= 3.3-1), spdep (>= 1.1.2), reldist
        (>= 1.6.6), dplyr (>= 0.8.3), fclust (>= 2.1.1), fmsb (>=
        0.7.0), future.apply (>= 1.4.0), progressr (>= 0.4.0), reshape2
        (>= 1.4.4), stats (>= 3.5), grDevices (>= 3.5), shiny (>=
        1.6.0), sf (>= 1.0-6), leaflet (>= 2.1.1), plotly (>= 4.9.3),
        Rdpack (>= 2.1.1), matrixStats (>= 0.58.0), methods (>= 3.5),
        terra (>= 1.6-47), Rcpp (>= 1.0.6)
Depends: R (>= 3.5)
Suggests: knitr (>= 1.28), rmarkdown (>= 2.1), markdown (>= 1.1),
        future (>= 1.16.0), ppclust (>= 1.1.0), ClustGeo (>= 2.0), car
        (>= 3.0-7), rgl (>= 0.100), ggpubr (>= 0.2.5), RColorBrewer (>=
        1.1-2), kableExtra (>= 1.1.0), viridis (>= 0.5.1), testthat (>=
        3.0.0), bslib (>= 0.2.5), shinyWidgets (>= 0.6), shinyhelper
        (>= 0.3.2), waiter (>= 0.2.2), classInt(>= 0.4-3), covr
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.2
VignetteBuilder: knitr
Description: Provides functions to apply spatial fuzzy unsupervised
        classification, visualize and interpret results. This method is
        well suited when the user wants to analyze data with a fuzzy
        clustering algorithm and to account for the spatial dimension
        of the dataset. In addition, indexes for estimating the spatial
        consistency and classification quality are proposed. The
        methods were originally proposed in the field of brain imagery
        (seed Cai and al. 2007 <doi:10.1016/j.patcog.2006.07.011> and
        Zaho and al. 2013 <doi:10.1016/j.dsp.2012.09.016>) and recently
        applied in geography (see Gelb and Apparicio
        <doi:10.4000/cybergeo.36414>).
URL: https://github.com/JeremyGelb/geocmeans
BugReports: https://github.com/JeremyGelb/geocmeans/issues
RdMacros: Rdpack
LinkingTo: Rcpp, RcppArmadillo
SystemRequirements: C++17
Language: en-CA
Config/pak/sysreqs: libabsl-dev cmake libgdal-dev gdal-bin libgeos-dev
        make libicu-dev libpng-dev libuv1-dev libxml2-dev libssl-dev
        libproj-dev libsqlite3-dev libudunits2-dev zlib1g-dev
Repository: https://jeremygelb.r-universe.dev
Date/Publication: 2026-04-19 23:44:09 UTC
RemoteUrl: https://github.com/jeremygelb/geocmeans
RemoteRef: HEAD
RemoteSha: 424ab6bc3eedbf1024bec3307572e0be423a8404
NeedsCompilation: yes
Packaged: 2026-06-19 11:27:53 UTC; root
Author: Jeremy Gelb [aut, cre] (ORCID: <https://orcid.org/0000-0002-7114-2714>),
  Philippe Apparicio [ctb] (ORCID:
    <https://orcid.org/0000-0001-6466-9342>)