Introduction | Loading the packages and the data | Classical Kmeans | Classical c-means and generalized c-means | Spatial c-means and generalized c-means | Selecting alpha for SFCM | Selecting alpha and beta for SGFCM | Comparing the spatial consistency of FCM, GFCM, SFCM and SGFCM | Interpreting the results of the final classification | Ensuring clustering stability | Advanced example | SFCM with spatial non-local information | Reproductibility | Final words | References
Package: geocmeans 0.3.4.1.9000
Jeremy Gelb
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>).
Authors:
geocmeans_0.3.4.1.9000.tar.gz
geocmeans_0.3.4.1.9000.zip(r-4.7)geocmeans_0.3.4.1.9000.zip(r-4.6)geocmeans_0.3.4.1.9000.zip(r-4.5)
geocmeans_0.3.4.1.9000.tgz(r-4.6-x86_64)geocmeans_0.3.4.1.9000.tgz(r-4.6-arm64)geocmeans_0.3.4.1.9000.tgz(r-4.5-x86_64)geocmeans_0.3.4.1.9000.tgz(r-4.5-arm64)
geocmeans_0.3.4.1.9000.tar.gz(r-4.7-arm64)geocmeans_0.3.4.1.9000.tar.gz(r-4.7-x86_64)geocmeans_0.3.4.1.9000.tar.gz(r-4.6-arm64)geocmeans_0.3.4.1.9000.tar.gz(r-4.6-x86_64)
geocmeans_0.3.4.1.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
geocmeans/json (API)
| # Install 'geocmeans' in R: |
| install.packages('geocmeans', repos = c('https://jeremygelb.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/jeremygelb/geocmeans/issues
Uses libs:
Datasets:
- LyonIris - Social and environmental indicators for the Iris of the metropolitan region of Lyon
clusteringcmeansfuzzy-classification-algorithmsspatial-analysisspatial-fuzzy-cmeansunsupervised-learningopenblascppopenmp
Last updated from:424ab6bc3e. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 351 | ||
| linux-devel-x86_64 | OK | 400 | ||
| source / vignettes | OK | 413 | ||
| linux-release-arm64 | OK | 358 | ||
| linux-release-x86_64 | OK | 381 | ||
| macos-release-arm64 | OK | 205 | ||
| macos-release-x86_64 | OK | 493 | ||
| macos-oldrel-arm64 | OK | 249 | ||
| macos-oldrel-x86_64 | OK | 467 | ||
| windows-devel | OK | 453 | ||
| windows-release | OK | 427 | ||
| windows-oldrel | OK | 413 | ||
| wasm-release | OK | 253 |
Exports:add_matrices_bycoladj_spconsist_arr_window_globstdadjustSpatialWeightsbarPlotsbelongsFCMbelongsGFCMbelongsSFCMbelongsSGFCMboot_group_validationboot_group_validation.mcboot_workercalc_jaccard_idxcalc_jaccard_matcalc_local_moran_rastercalc_moran_rastercalc_raster_spinconsistencycalcBelongMatrixcalcBelongMatrixNoisycalcCalinskiHarabaszcalcCentroidscalcDaviesBouldincalcELSAcalcEuclideanDistancecalcEuclideanDistance2calcEuclideanDistance3calcexplainedInertiacalcFGCMBelongMatrixcalcFGCMBelongMatrixNoisycalcFukuyamaSugenocalcFuzzyELSAcalcFuzzyElsa_rastercalcGD43calcGD53calcLaggedDatacalcNegentropyIcalcQualIdxcalcqualityIndexescalcRobustSigmascalcSFCMBelongMatrixcalcSFCMBelongMatrixNoisycalcSFGCMBelongMatrixcalcSFGCMBelongMatrixNoisycalcSilhouetteIdxcalcSWFCCentroidscalcUncertaintyIndexcalcWdataRastercat_to_belongingscatToBelongingscentersFCMcentersGFCMcentersSFCMcentersSGFCMcheck_matdistcheck_raters_dimscheck_windowcircular_windowCMeansdiv_matrices_bycolElsa_categorical_matrix_windowElsa_fuzzy_matrix_windowelsa_fuzzy_vectorelsa_rasterelsa_vectoreval_parametersevaluateMatricesFCMresfocal_adj_mean_arr_windowfocal_euclidean_arr_windowfocal_euclidean_listfocal_euclidean_mat_windowGCMeansgeocmeans_envgroups_matchinginput_raster_datais.FCMreskppCentersload_arcachonlocal_moranI_matrix_windowmain_workermapClustersmapRastersmapThismax_matmoranI_matrix_windowoutput_raster_dataplot.FCMrespow_matrix_bycolpower_matpredict_membershippredict.FCMresprint.FCMresprod_matrices_bycolrowmins_matsanity_checkselect_parametersselect_parameters.mcselectParametersselectParameters.mcSFCMeansSGFCMeanssp_clust_explorerspatialDiagspConsistencyspiderPlotssqrt_matrix_bycolstandardizersub_matrices_bycolsummarizeClusterssummary.FCMrestest_inferior_matuncertaintyMapundecidedUnitsvecmaxvecminvector_out_prodviolinPlots
Dependencies:abindaskpassbackportsbase64encBHbootbslibcachemcallrcheckmateclassclassIntclicodetoolscolorspacecols4allcommonmarkcpp11crosstalkcurldata.tableDBIdeldirdensEstBayesdescdigestdistributionaldplyre1071evaluatefarverfastmapfclustfmsbfontawesomefsfuturefuture.applygenericsgeojsonsfgeometriesggplot2globalsgluegridExtragtablehighrhtmltoolshtmlwidgetshttpuvhttrinlineisobandjquerylibjsonifyjsonliteKernSmoothknitrlabelinglaterlatticelazyevalleafemleafglleaflegendleafletleaflet.providersleafsynclifecyclelistenvloggerloolwgeommagrittrmaptilesMASSMatrixmatrixStatsmemoisemgcvmimenlmenumDerivopensslotelparallellypillarpkgbuildpkgconfigplotlyplyrpngposteriorprocessxprogressrpromisesproxypspurrrQuickJSRR6rapidjsonrrappdirsrasterrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRcppParallelRdpackreldistreshape2rlangrmarkdownrstanrstantoolss2S7sassscalesservrsfsfheadersshinysourcetoolsspspacesXYZspDataspdepStanHeadersstarsstringdiststringistringrsystensorAterratibbletidyrtidyselecttinytextmaptmaptoolsunitsutf8vctrsviridisLitewithrwkxfunXMLxtableyamlyyjsonr
