make.gmCompositionalMPSSpatialModel: Construct a Multi-Point gmSpatialModel for regionalized...

In gmGeostats: Geostatistics for Compositional Analysis

Construct a Multi-Point gmSpatialModel for regionalized compositions

Description

Construct a regionalized compositional data container to be used for multipoint geostatistics.

Usage

make.gmCompositionalMPSSpatialModel(
  data,
  coords = attr(data, "coords"),
  V = "ilr",
  prefix = NULL,
  model = NULL
)

Arguments

data	either a compositions::acomp() compositional data set, or else a sp::SpatialPointsDataFrame() containing it
coords	the coordinates of the sampling locations, if no SpatialPointsDataFrame was provided
V	optionally, a matrix of logcontrasts, or else one of the following strings: "alr", "ilr" or "clr"; to produce a plot of the empirical variogram in the corresponding representation; default to variation-variograms
prefix	the desired prefix name for the logratio variables, if this is wished to be forced; otherwise derived from V
model	a training image, of any appropriate class (typically a sp::SpatialGridDataFrame() or sp::SpatialPixelsDataFrame())

Value

A "gmSpatialModel" object with all information provided appropriately structured. See gmSpatialModel.

See Also

DirectSamplingParameters() for specifying a direct simulation method parameters, predict_gmSpatialModel for running the simulation

Other gmSpatialModel: Predict(), as.gmSpatialModel(), gmSpatialModel-class, make.gmCompositionalGaussianSpatialModel(), make.gmMultivariateGaussianSpatialModel()

gmGeostats documentation built on Aug. 21, 2025, 5:43 p.m.