+.gmCgram               Combination of gmCgram variogram structures
AnisotropyRangeMatrix   Force a matrix to be anisotropy range matrix,
AnisotropyScaling       Convert to anisotropy scaling matrix
CholeskyDecomposition   Create a parameter set specifying a LU
                        decomposition simulation algorithm
DSpars                  Create a parameter set specifying a direct
                        sampling algorithm
DataFrameStack          Create a data frame stack
EmpiricalStructuralFunctionSpecification-class
                        Empirical structural function specification
GridOrNothing-class     Superclass for grid or nothing
KrigingNeighbourhood    Create a parameter set of local for
                        neighbourhood specification.
LMCAnisCompo            Create a anisotropic model for regionalized
                        compositions
LeaveOneOut             Specify the leave-one-out strategy for
                        validation of a spatial model
Maf                     Generalised diagonalisations Calculate several
                        generalized diagonalisations out of a data set
                        and its empirical variogram
ModelStructuralFunctionSpecification-class
                        Structural function model specification
NGSAustralia            National Geochemical Survey of Australia: soil
                        data
NfoldCrossValidation    Specify a strategy for validation of a spatial
                        model
Predict                 Predict method for objects of class
                        'gmSpatialModel'
SequentialSimulation    Create a parameter set specifying a gaussian
                        sequential simulation algorithm
TurningBands            Create a parameter set specifying a turning
                        bands simulation algorithm
Windarling              Ore composition of a bench at a mine in
                        Windarling, West Australia.
[.DataFrameStack        Extract rows of a DataFrameStack
[.gmCgram               Subsetting of gmCgram variogram structures
[.logratioVariogramAnisotropy
                        Subsetting of logratioVariogram objects
[[.gmCgram              Subsetting of gmCgram variogram structures
accuracy                Compute accuracy and precision
ana                     Flow anamorphosis transform Compute a
                        transformation that gaussianizes a certain data
                        set
anaBackward             Backward gaussian anamorphosis backward
                        transformation to multivariate gaussian scores
anaForward              Forward gaussian anamorphosis forward
                        transformation to multivariate gaussian scores
anis_GSLIBpar2A         Produce anisotropy scaling matrix from angle
                        and anisotropy ratios
as.AnisotropyRangeMatrix
                        Force a matrix to be anisotropy range matrix,
as.AnisotropyScaling    Convert to anisotropy scaling matrix
as.CompLinModCoReg      Recast a model to the variogram model of
                        package "compositions"
as.LMCAnisCompo.gstat   Recast compositional variogram model to format
                        LMCAnisCompo
as.array.DataFrameStack
                        Convert a stacked data frame into an array
as.directorVector       Express a direction as a director vector
as.function.gmCgram     Convert a gmCgram object to an (evaluable)
                        function
as.gmCgram.variogramModelList
                        Convert theoretical structural functions to
                        gmCgram format
as.gmEVario.gstatVariogram
                        Convert empirical structural function to
                        gmEVario format
as.gmSpatialModel       Recast spatial object to gmSpatialModel format
as.gstat                Convert a regionalized data container to gstat
as.gstatVariogram       Represent an empirical variogram in
                        "gstatVariogram" format
as.list.DataFrameStack
                        Convert a stacked data frame into a list of
                        data.frames
as.logratioVariogram.gstatVariogram
                        Recast empirical variogram to format
                        logratioVariogram
as.logratioVariogramAnisotropy
                        Convert empirical variogram to
                        "logratioVariogramAnisotropy"
as.variogramModel       Convert an LMC variogram model to gstat format
coloredBiplot.genDiag   Colored biplot for gemeralised diagonalisations
                        Colored biplot method for objects of class
                        genDiag
constructMask           Constructs a mask for a grid
dimnames.DataFrameStack
                        Return the dimnames of a DataFrameStack
fit_lmc                 Fit an LMC to an empirical variogram
getMask                 Get the mask info out of a spatial data object
getStackElement         Set or get the i-th data frame of a data.frame
                        stack
getTellus               Download the Tellus survey data set (NI)
gmApply                 Apply Functions Over Array or DataFrameStack
                        Margins
gmGaussianMethodParameters-class
                        parameters for Spatial Gaussian methods of any
                        kind
gmGaussianSimulationAlgorithm-class
                        parameters for Gaussian Simulation methods
gmMPSParameters-class   parameters for Multiple-Point Statistics
                        methods
gmNeighbourhoodSpecification-class
                        Neighbourhood description
gmSimulationAlgorithm-class
                        Parameter specification for a spatial
                        simulation algorithm
gmSpatialDataContainer-class
                        General description of a spatial data container
gmSpatialMethodParameters-class
                        Parameter specification for any spatial method
gmSpatialModel-class    Conditional spatial model data container
gmTrainingImage-class   MPS training image class
gmUnconditionalSpatialModel-class
                        General description of a spatial model
gmValidationStrategy-class
                        Validation strategy description
gsi.Cokriging           Cokriging of all sorts, internal function
gsi.CondTurningBands    Internal function, conditional turning bands
                        realisations
gsi.DS                  Workhorse function for direct sampling
gsi.EVario2D            Empirical variogram or covariance function in
                        2D
gsi.EVario3D            Empirical variogram or covariance function in
                        3D
gsi.TurningBands        Internal function, unconditional turning bands
                        realisations
gsi.calcCgram           Compute covariance matrix oout of locations
gsi.gstatCokriging2compo
                        Reorganisation of cokriged compositions
gsi.orig                extract information about the original data, if
                        available
gsi.produceV            Create a matrix of logcontrasts and name prefix
has.missings.data.frame
                        Check presence of missings check presence of
                        missings in a data.frame
image.logratioVariogramAnisotropy
                        Plot variogram maps for anisotropic logratio
                        variograms
image.mask              Image method for mask objects
image_cokriged          Plot an image of gridded data
is.anisotropySpecification
                        Check for any anisotropy class
is.isotropic            Check for anisotropy of a theoretical variogram
length.gmCgram          Length, and number of columns or rows
logratioVariogram       Empirical logratio variogram calculation
logratioVariogram,acomp-method
                        Logratio variogram of a compositional data
logratioVariogram_gmSpatialModel
                        Variogram method for gmSpatialModel objects
make.gmCompositionalGaussianSpatialModel
                        Construct a Gaussian gmSpatialModel for
                        regionalized compositions
make.gmCompositionalMPSSpatialModel
                        Construct a Multi-Point gmSpatialModel for
                        regionalized compositions
make.gmMultivariateGaussianSpatialModel
                        Construct a Gaussian gmSpatialModel for
                        regionalized multivariate data
mean.accuracy           Mean accuracy
mean.spatialDecorrelationMeasure
                        Average measures of spatial decorrelation
ndirections             Number of directions of an empirical variogram
noSpatCorr.test         Test for lack of spatial correlation
pairsmap                Multiple maps Matrix of maps showing different
                        combinations of components of a composition,
                        user defined
plot.accuracy           Plot method for accuracy curves
plot.gmCgram            Draw cuves for covariance/variogram models
plot.gmEVario           Plot empirical variograms
plot.logratioVariogramAnisotropy
                        Plot variogram lines of empirical directional
                        logratio variograms
plot.swarmPlot          Plotting method for swarmPlot objects
precision               Precision calculations
predict.LMCAnisCompo    Compute model variogram values Evaluate the
                        variogram model provided at some lag vectors
predict.genDiag         Predict method for generalised diagonalisation
                        objects
print.mask              Print method for mask objects
pwlrmap                 Compositional maps, pairwise logratios Matrix
                        of maps showing different combinations of
                        components of a composition, in pairwise
                        logratios
setCgram                Generate D-variate variogram models
setGridOrder            Set or get the ordering of a grid
setMask                 Set a mask on an object
sortDataInGrid          Reorder data in a grid
spatialDecorrelation    Compute diagonalisation measures
spatialGridAcomp        Construct a regionalized composition / reorder
                        compositional simulations
spatialGridRmult        Construct a regionalized multivariate data
spectralcolors          Spectral colors palette based on the
                        RColorBrewer::brewer.pal(11,"Spectral")
sphTrans                Spherifying transform Compute a transformation
                        that spherifies a certain data set
stackDim                Get/set name/index of (non)stacking dimensions
stackDim,Spatial-method
                        Get name/index of the stacking dimension of a
                        Spatial object
swarmPlot               Plot a swarm of calculated output through a
                        DataFrameStack
swath                   Swath plots
unmask                  Unmask a masked object
validate                Validate a spatial model
variogramModelPlot      Quick plotting of empirical and theoretical
                        variograms Quick and dirty plotting of
                        empirical variograms/covariances with or
                        without their models
variogramModelPlot.gstatVariogram
                        Quick plotting of empirical and theoretical
                        variograms Quick and dirty plotting of
                        empirical variograms/covariances with or
                        without their models
variogramModelPlot.logratioVariogram
                        Quick plotting of empirical and theoretical
                        logratio variograms Quick and dirty plotting of
                        empirical logratio variograms with or without
                        their models
write.GSLib             Write a regionalized data set in GSLIB format
xvErrorMeasures         Cross-validation errror measures
xvErrorMeasures.default
                        Cross-validation errror measures
