R: Implementing Methods for Spatial Fuzzy Unsupervised Classification

# Implementing Methods for Spatial Fuzzy Unsupervised Classification

## Documentation for package ‘geocmeans’ version 0.3.4

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

adjustSpatialWeights | Semantic adjusted spatial weights
Arcachon | SpatRaster of the bay of Arcachon
barPlots | Bar plots
boot_group_validation | Check the robustness of a classification by Bootstrap
boot_group_validation.mc | Check that the obtained groups are stable by bootstrap (multicore)
calcCalinskiHarabasz | Calinski-Harabasz index
calcDaviesBouldin | Davies-Bouldin index
calcELSA | calculate ELSA statistic for a hard partition
calcexplainedInertia | Explained inertia index
calcFukuyamaSugeno | Fukuyama and Sugeno index
calcFuzzyELSA | calculate ELSA statistic for a fuzzy partition
calcGD43 | Generalized Dunn’s index (43)
calcGD53 | Generalized Dunn’s index (53)
calcNegentropyI | Negentropy Increment index
calcqualityIndexes | Quality indexes
calcSilhouetteIdx | Fuzzy Silhouette index
calcUncertaintyIndex | Diversity index
calc_local_moran_raster | Local Moran I for raster
calc_moran_raster | Global Moran I for raster
catToBelongings | Convert categories to membership matrix
cat_to_belongings | Convert categories to membership matrix
circular_window | Circular window
CMeans | C-means
GCMeans | Generalized C-means
groups_matching | Match the groups obtained from two classifications
is.FCMres | is method for FCMres
load_arcachon | SpatRaster of the bay of Arcachon
LyonIris | social and environmental indicators for the Iris of the metropolitan region of Lyon (France)
mapClusters | Mapping the clusters
plot.FCMres | Plot method for FCMres object
predict.FCMres | Predict method for FCMres object
predict_membership | Predict matrix membership for new observations
print.FCMres | print method for FCMres
selectParameters | Select parameters for a clustering algorithm
selectParameters.mc | Select parameters for clustering algorithm (multicore)
select_parameters | Select parameters for a clustering algorithm
select_parameters.mc | Select parameters for clustering algorithm (multicore)
SFCMeans | SFCMeans
SGFCMeans | SGFCMeans
spatialDiag | Spatial diagnostic
spConsistency | Spatial consistency index
spiderPlots | Spider chart
sp_clust_explorer | Classification result explorer
standardizer | Standardizing helper
summarizeClusters | Descriptive statistics by group
summary.FCMres | Summary method for FCMres
uncertaintyMap | Uncertainty map
undecidedUnits | Undecided observations
violinPlots | Violin plots