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geocmeans: Implementing Methods for Spatial Fuzzy Unsupervised Classification

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>).

Version: 0.3.4
Depends: R (≥ 3.5)
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)
LinkingTo: Rcpp, RcppArmadillo
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
Published: 2023-09-12
DOI: 10.32614/CRAN.package.geocmeans
Author: Jeremy Gelb ORCID iD [aut, cre], Philippe Apparicio ORCID iD [ctb]
Maintainer: Jeremy Gelb <jeremy.gelb at ucs.inrs.ca>
BugReports: https://github.com/JeremyGelb/geocmeans/issues
License: GPL-2
URL: https://github.com/JeremyGelb/geocmeans
NeedsCompilation: yes
SystemRequirements: C++17
Language: en-CA
Citation: geocmeans citation info
Materials: README NEWS
CRAN checks: geocmeans results

Documentation:

Reference manual: geocmeans.pdf
Vignettes: Introduction

Downloads:

Package source: geocmeans_0.3.4.tar.gz
Windows binaries: r-devel: geocmeans_0.3.4.zip, r-release: geocmeans_0.3.4.zip, r-oldrel: geocmeans_0.3.4.zip
macOS binaries: r-release (arm64): geocmeans_0.3.4.tgz, r-oldrel (arm64): geocmeans_0.3.4.tgz, r-release (x86_64): geocmeans_0.3.4.tgz, r-oldrel (x86_64): geocmeans_0.3.4.tgz
Old sources: geocmeans archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=geocmeans to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.