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gmGeostats  

Geostatistics for Compositional Analysis
View on CRAN: Click here


Download and install gmGeostats package within the R console
Install from CRAN:
install.packages("gmGeostats")

Install from Github:
library("remotes")
install_github("cran/gmGeostats")

Install by package version:
library("remotes")
install_version("gmGeostats", "0.11.3")



Attach the package and use:
library("gmGeostats")
Maintained by
K. Gerald van den Boogaart
[Scholar Profile | Author Map]
First Published: 2020-09-16
Latest Update: 2023-04-18
Description:
Support for geostatistical analysis of multivariate data, in particular data with restrictions, e.g. positive amounts, compositions, distributional data, microstructural data, etc. It includes descriptive analysis and modelling for such data, both from a two-point Gaussian perspective and multipoint perspective. The methods mainly follow Tolosana-Delgado, Mueller and van den Boogaart (2018) .
How to cite:
K. Gerald van den Boogaart (2020). gmGeostats: Geostatistics for Compositional Analysis. R package version 0.11.3, https://cran.r-project.org/web/packages/gmGeostats. Accessed 20 Feb. 2025.
Previous versions and publish date:
0.10-6 (2020-09-16 11:10), 0.10-7 (2020-10-03 17:20), 0.10-8 (2021-07-15 19:40), 0.10-9 (2021-09-17 19:40), 0.11.0 (2021-10-18 10:50), 0.11.1 (2022-05-03 15:30), 0.11.2 (2022-11-30 16:20)
Other packages that cited gmGeostats R package
View gmGeostats citation profile
Other R packages that gmGeostats depends, imports, suggests or enhances
Complete documentation for gmGeostats
Functions, R codes and Examples using the gmGeostats R package
Some associated functions: AnisotropyRangeMatrix . AnisotropyScaling . CholeskyDecomposition . DSpars . DataFrameStack.data.frame . EmpiricalStructuralFunctionSpecification-class . GridOrNothing-class . KrigingNeighbourhood . LMCAnisCompo . LeaveOneOut . Maf.data.frame . ModelStructuralFunctionSpecification-class . NGSAustralia . NfoldCrossValidation . SequentialSimulation . TurningBands . Windarling . accuracy . ana . anaBackward . anaForward . anis_GSLIBpar2A . as.AnisotropyRangeMatrix . as.AnisotropyScaling . as.CompLinModCoReg . as.LMCAnisCompo . as.array.DataFrameStack . as.directorVector . as.function.gmCgram . as.gmCgram . as.gmEVario . as.gmSpatialModel . as.gstat . as.gstatVariogram . as.list.DataFrameStack . as.logratioVariogram . as.logratioVariogramAnisotropy . as.variogramModel . coloredBiplot.genDiag . constructMask . dimnames.DataFrameStack . fit_lmc . getMask . getStackElement . getTellus . gmApply . gmGaussianMethodParameters-class . gmGaussianSimulationAlgorithm-class . gmMPSParameters-class . gmNeighbourhoodSpecification-class . gmSimulationAlgorithm-class . gmSpatialDataContainer-class . gmSpatialMethodParameters-class . gmSpatialModel-class . gmTrainingImage-class . gmUnconditionalSpatialModel-class . gmValidationStrategy-class . gsi.Cokriging . gsi.CondTurningBands . gsi.DS . gsi.EVario2D . gsi.EVario3D . gsi.TurningBands . gsi.calcCgram . gsi.gstatCokriging2compo . gsi.orig . gsi.produceV . has.missings.data.frame . image.logratioVariogramAnisotropy . image.mask . image_cokriged . is.anisotropySpecification . is.isotropic . length.gmCgram . logratioVariogram-acomp-method . logratioVariogram . make.gmCompositionalGaussianSpatialModel . make.gmCompositionalMPSSpatialModel . make.gmMultivariateGaussianSpatialModel . mean.accuracy . mean.spatialDecorrelationMeasure . ndirections . noSpatCorr.test . pairsmap . plot.accuracy . plot.gmCgram . plot.gmEVario . plot.logratioVariogramAnisotropy . plot.swarmPlot . plus-.gmCgram . precision . predict.LMCAnisCompo . predict.genDiag . predict_gmSpatialModel . print.mask . pwlrmap . setCgram . setGridOrder . setMask . sortDataInGrid . spatialDecorrelation . spatialGridAcomp . spatialGridRmult . spectralcolors . sphTrans . stackDim-Spatial-method . stackDim . sub-.DataFrameStack . sub-.gmCgram . sub-.logratioVariogramAnisotropy . sub-sub-.gmCgram . swarmPlot . swath . unmask.data.frame . validate . variogramModelPlot.gmEVario . variogramModelPlot.gstatVariogram . variogramModelPlot.logratioVariogram . variogram_gmSpatialModel . write.GSLib . xvErrorMeasures.data.frame . xvErrorMeasures.default . 
Some associated R codes: Anamorphosis.R . abstractClasses.R . accuracy.R . closeup.R . compositionsCompatibility.R . data.R . exploratools.R . genDiag.R . geostats.R . gmAnisotropy.R . gmDataFrameStack.R . gmSimulation.R . gmSpatialMethodParameters.R . gmSpatialModel.R . gmValidationStrategy.R . grids.R . gstatCompatibility.R . mask.R . preparations.R . spSupport.R . uncorrelationTest.R . variograms.R . zzz.R .  Full gmGeostats package functions and examples
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