Other packages > Find by keyword >

geocmeans  

Implementing Methods for Spatial Fuzzy Unsupervised Classification
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("geocmeans", "0.3.4")



Attach the package and use:
library("geocmeans")
Maintained by
Jeremy Gelb
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-04-21
Latest Update: 2023-09-12
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 and Zaho and al. 2013 ) and recently applied in geography (see Gelb and Apparicio ).
How to cite:
Jeremy Gelb (2021). geocmeans: Implementing Methods for Spatial Fuzzy Unsupervised Classification. R package version 0.3.4, https://cran.r-project.org/web/packages/geocmeans. Accessed 12 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:42), 0.1.1 (2021-04-21 09:40), 0.2.0 (2021-08-23 09:11), 0.2.2 (2022-06-16 21:20), 0.3.1 (2022-10-16 02:23), 0.3.2 (2023-01-08 22:40), 0.3.3 (2023-02-07 02:02)
Other packages that cited geocmeans R package
View geocmeans citation profile
Other R packages that geocmeans depends, imports, suggests or enhances
Complete documentation for geocmeans
Functions, R codes and Examples using the geocmeans R package
Some associated functions: Arcachon . CMeans . Elsa_categorical_matrix_window . Elsa_fuzzy_matrix_window . FCMres . GCMeans . LyonIris . SFCMeans . SGFCMeans . add_matrices_bycol . adj_spconsist_arr_window_globstd . adjustSpatialWeights . barPlots . belongsFCM . belongsGFCM . belongsSFCM . belongsSGFCM . boot_group_validation.mc . boot_group_validation . boot_worker . calcBelongMatrix . calcBelongMatrixNoisy . calcCalinskiHarabasz . calcCentroids . calcDaviesBouldin . calcELSA . calcEuclideanDistance . calcEuclideanDistance2 . calcEuclideanDistance3 . calcFGCMBelongMatrix . calcFGCMBelongMatrixNoisy . calcFukuyamaSugeno . calcFuzzyELSA . calcFuzzyElsa_raster . calcGD43 . calcGD53 . calcLaggedData . calcNegentropyI . calcQualIdx . calcRobustSigmas . calcSFCMBelongMatrix . calcSFCMBelongMatrixNoisy . calcSFGCMBelongMatrix . calcSFGCMBelongMatrixNoisy . calcSWFCCentroids . calcSilhouetteIdx . calcUncertaintyIndex . calcWdataRaster . calc_jaccard_idx . calc_jaccard_mat . calc_local_moran_raster . calc_moran_raster . calc_raster_spinconsistency . calcexplainedInertia . calcqualityIndexes . cat_to_belongings . centersFCM . centersGFCM . centersSFCM . centersSGFCM . check_matdist . check_raters_dims . check_window . circular_window . div_matrices_bycol . elsa_fuzzy_vector . elsa_raster . elsa_vector . eval_parameters . evaluateMatrices . focal_adj_mean_arr_window . focal_euclidean . focal_euclidean_arr_window . focal_euclidean_mat_window . geocmeans . geocmeans_env . groups_matching . input_raster_data . is.FCMres . kppCenters . local_moranI_matrix_window . main_worker . mapClusters . mapRasters . mapThis . max_mat . moranI_matrix_window . output_raster_data . plot.FCMres . pow_matrices_bycol . power_mat . predict.FCMres . predict_membership . print.FCMres . prod_matrices_bycol . rowmins_mat . sanity_check . select_parameters.mc . select_parameters . spConsistency . sp_clust_explorer . spatialDiag . spiderPlots . sqrt_matrix_bycol . standardizer . sub_matrices_bycol . summarizeClusters . summary.FCMres . test_inferior_mat . uncertaintyMap . undecidedUnits . vecmin . vector_out_prod . violinPlots . 
Some associated R codes: FCM.R . FCMclass.R . GFCM.R . RcppExports.R . assembling.R . boostrap_clust_validation.R . clustering_evaluation.R . data_doc.R . geocmeans-package.R . geocmeans.R . moran_eigen_class.R . raster_support.R . scaling.R . shinyapp.R . side_functions.R . spatial_indices.R . spatial_matrices.R . uncertainty.R .  Full geocmeans package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
ggparliament  
Parliament Plots
Simple parliament plots using 'ggplot2'. Visualize election results as points in the architectural l ...
Download / Learn more Package Citations See dependency  
SLEMI  
Statistical Learning Based Estimation of Mutual Information
The implementation of the algorithm for estimation of mutual information and channel capacity from e ...
Download / Learn more Package Citations See dependency  
gwavr  
Get Water Attributes Visually in R
Provides methods to Get Water Attributes Visually in R ('gwavr'). This allows the user to point and ...
Download / Learn more Package Citations See dependency  
cglasso  
Conditional Graphical LASSO for Gaussian Graphical Models with Censored and Missing Values
Conditional graphical lasso estimator is an extension of the graphical lasso proposed to estimate th ...
Download / Learn more Package Citations See dependency  

29,000

R Packages

247,686

Dependencies

76,729

Author Associations

29,001

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA