Construct a regionalized compositional data container to be used for multipoint geostatistics.
make.gmCompositionalMPSSpatialModel(
data,
coords = attr(data, "coords"),
V = "ilr",
prefix = NULL,
model = NULL
)
A "gmSpatialModel" object with all information provided appropriately structured. See gmSpatialModel.
either a compositions::acomp()
compositional data set, or else a sp::SpatialPointsDataFrame()
containing it
the coordinates of the sampling locations, if no SpatialPointsDataFrame was provided
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
the desired prefix name for the logratio variables, if this is wished to be forced; otherwise derived from V
a training image, of any appropriate class (typically a sp::SpatialGridDataFrame()
or sp::SpatialPixelsDataFrame()
)
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()