geostatsp (version 1.7.8)

RFsimulate: Simulation of Random Fields

Description

This function simulates conditional and unconditional Gaussian random fields, calling the function in the RandomFields package of the same name.

Usage

# S4 method for ANY,Raster
RFsimulate(model, x,	data=NULL,
 err.model=NULL, n = 1, ...)
# S4 method for numeric,SpatialGrid
RFsimulate(model, x,data=NULL,
 err.model=NULL, n = 1, ...)
# S4 method for numeric,SpatialPixels
RFsimulate(model, x, data=NULL, 
err.model=NULL, n = 1, ...)
# S4 method for numeric,SpatialPoints
RFsimulate(model, x, data=NULL, 
 	err.model=NULL, n = 1, ...)
# S4 method for numeric,GridTopology
RFsimulate(model, x, data=NULL, 
 err.model=NULL, n = 1, ...)
# S4 method for RMmodel,GridTopology
RFsimulate(model, x, data=NULL, 
 err.model=NULL, n = 1, ...)
# S4 method for RMmodel,SpatialPoints
RFsimulate(model, x, data=NULL, 
 err.model=NULL, n = 1, ...)
# S4 method for matrix,Raster
RFsimulate(model, x, 	data=NULL, 
 err.model=NULL, n = nrow(model), ...)
# S4 method for matrix,Spatial
RFsimulate(model, x,	data=NULL, 
	err.model=NULL, n = nrow(model), ...)
# S4 method for data.frame,ANY
RFsimulate(model, x,	data=NULL, 
	err.model=NULL, n = nrow(model), ...)
modelRandomFields(param, includeNugget=FALSE)

Arguments

model

object of class RMmodel, a vector of named model parameters, or a matrix where each column is a model parameter

x

Object of type GridTopology or Raster or SpatialPoints or SpatialPixels.

data

For conditional simulation and random imputing only. If data is missing, unconditional simulation is performed.Object of class SpatialPointsDataFrame; coordinates and response values of measurements in case that conditional simulation is to be performed

err.model

For conditional simulation and random imputing only. Usually err.model=RMnugget(var=var), or not given at all (error-free measurements).

n

number of realizations to generate.

...

for advanced use: further options and control parameters for the simulation that are passed to and processed by RFoptions

param

A vector of named parameters

includeNugget

If FALSE, the nugget parameter is ignored.

Value

An object of the same class as x, with the exception of x being a GridTopology where a Raster is returned.

Details

If model is a matrix, a different set of parameters is used for each simulation. If data has the same number of columns as model has rows, a different column i is used with parameters in row i.

See Also

RFsimulate, RFempiricalvariogram, RFfit, RFgetModelInfo, RFgui, RMmodel, RFoptions, RFsimulateAdvanced, RFsimulate.more.examples

Examples

# NOT RUN {
library('geostatsp')
model <- c(var=5, range=1,shape=0.5)


myraster = raster(nrows=20,ncols=30,xmn=0,ymn=0,xmx=6,ymx=4, 
		crs="+init=epsg:2081")

set.seed(0) 

simu <- RFsimulate(model, x=myraster, n=3)

plot(simu[['sim2']])

# conditional simulation
firstSample = RFsimulate(
	model, 
	x=SpatialPoints(myraster)[seq(1,ncell(myraster), len=100), ],
	n=3
)

secondSample = RFsimulate(
	model = cbind(var=5:3, range=1:3, shape=seq(0.5, 1.5, len=3)),
	x= myraster,
	data=firstSample,n=4
)

plot(secondSample)

# convert the model to RandomFields format and plot
if(requireNamespace('RandomFields', quietly=TRUE)) {
	RandomFields::plot(modelRandomFields(model))
}


# }