gmGeostats0.11.4 package

Empirical structural function specification

Quick plotting of empirical and theoretical logratio variograms Quick ...

Write a regionalized data set in GSLIB format

Cross-validation errror measures

Cross-validation errror measures

Fit an LMC to an empirical variogram

Get the mask info out of a spatial data object

Set or get the i-th data frame of a data.frame stack

Download the Tellus survey data set (NI)

Compute accuracy and precision

Flow anamorphosis transform Compute a transformation that gaussianizes...

Backward gaussian anamorphosis backward transformation to multivariate...

Forward gaussian anamorphosis forward transformation to multivariate g...

Produce anisotropy scaling matrix from angle and anisotropy ratios

Force a matrix to be anisotropy range matrix,

Convert to anisotropy scaling matrix

Force a matrix to be anisotropy range matrix,

Convert to anisotropy scaling matrix

Convert a stacked data frame into an array

Recast a model to the variogram model of package "compositions"

Express a direction as a director vector

Convert a gmCgram object to an (evaluable) function

Convert theoretical structural functions to gmCgram format

Convert empirical structural function to gmEVario format

Recast spatial object to gmSpatialModel format

Convert a regionalized data container to gstat

Represent an empirical variogram in "gstatVariogram" format

Convert a stacked data frame into a list of data.frames

Recast compositional variogram model to format LMCAnisCompo

Recast empirical variogram to format logratioVariogram

Convert empirical variogram to "logratioVariogramAnisotropy"

Convert an LMC variogram model to gstat format

Create a parameter set specifying a LU decomposition simulation algori...

Colored biplot for gemeralised diagonalisations Colored biplot method ...

Constructs a mask for a grid

Create a data frame stack

Return the dimnames of a DataFrameStack

Create a parameter set specifying a direct sampling algorithm

Apply Functions Over Array or DataFrameStack Margins

parameters for Spatial Gaussian methods of any kind

parameters for Gaussian Simulation methods

parameters for Multiple-Point Statistics methods

Neighbourhood description

Parameter specification for a spatial simulation algorithm

General description of a spatial data container

Parameter specification for any spatial method

Conditional spatial model data container

MPS training image class

General description of a spatial model

Validation strategy description

Superclass for grid or nothing

Compute covariance matrix oout of locations

Cokriging of all sorts, internal function

Internal function, conditional turning bands realisations

Workhorse function for direct sampling

Empirical variogram or covariance function in 2D

Empirical variogram or covariance function in 3D

Reorganisation of cokriged compositions

extract information about the original data, if available

Create a matrix of logcontrasts and name prefix

Internal function, unconditional turning bands realisations

Check presence of missings check presence of missings in a data.frame

Plot variogram maps for anisotropic logratio variograms

Image method for mask objects

Plot an image of gridded data

Check for any anisotropy class

Check for anisotropy of a theoretical variogram

Create a parameter set of local for neighbourhood specification.

Specify the leave-one-out strategy for validation of a spatial model

Length, and number of columns or rows

Create a anisotropic model for regionalized compositions

Logratio variogram of a compositional data

Empirical logratio variogram calculation

Generalised diagonalisations Calculate several generalized diagonalisa...

Construct a Gaussian gmSpatialModel for regionalized compositions

Construct a Multi-Point gmSpatialModel for regionalized compositions

Construct a Gaussian gmSpatialModel for regionalized multivariate data

Mean accuracy

Average measures of spatial decorrelation

Structural function model specification

Number of directions of an empirical variogram

Specify a strategy for validation of a spatial model

Test for lack of spatial correlation

Multiple maps Matrix of maps showing different combinations of compone...

Plot method for accuracy curves

Draw cuves for covariance/variogram models

Plot empirical variograms

Plot variogram lines of empirical directional logratio variograms

Plotting method for swarmPlot objects

Combination of gmCgram variogram structures

Precision calculations

Predict method for generalised diagonalisation objects

Compute model variogram valuesEvaluate the variogram model provided at...

Predict method for objects of class 'gmSpatialModel'

Print method for mask objects

Compositional maps, pairwise logratios Matrix of maps showing differen...

Create a parameter set specifying a gaussian sequential simulation alg...

Generate D-variate variogram models

Set or get the ordering of a grid

Set a mask on an object

Reorder data in a grid

Compute diagonalisation measures

Construct a regionalized composition / reorder compositional simulatio...

Construct a regionalized multivariate data

Spectral colors palette based on the RColorBrewer::brewer.pal(11,"Spec...

Spherifying transform Compute a transformation that spherifies a certa...

Get name/index of the stacking dimension of a Spatial object

Get/set name/index of (non)stacking dimensions

Extract rows of a DataFrameStack

Subsetting of gmCgram variogram structures

Subsetting of logratioVariogram objects

Subsetting of gmCgram variogram structures

Plot a swarm of calculated output through a DataFrameStack

Swath plots

Create a parameter set specifying a turning bands simulation algorithm

Unmask a masked object

Validate a spatial model

Variogram method for gmSpatialModel objects

Quick plotting of empirical and theoretical variograms Quick and dirty...

Quick plotting of empirical and theoretical variograms Quick and dirty...