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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: 2023-02-07
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 21 Nov. 2024.
Previous versions and publish date:
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
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