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lgcp (version 1.3-8)

lgcpSimSpatialCovariates: lgcpSimSpatialCovariates function

Description

A function to simulate a spatial LGCP.

Usage

lgcpSimSpatialCovariates(formula, owin, regionalcovariates = NULL,
  pixelcovariates = NULL, Zmat = NULL, beta, poisson.offset = NULL,
  cellwidth, model.parameters, spatial.covmodel = "exponential",
  covpars = c(), ext = 2, plot = FALSE, inclusion = "touching")

Arguments

formula
a formula of the form X ~ var1 + var2 etc.
owin
the observation window on which to do the simulation
regionalcovariates
an optional object of class SpatialPolygonsDataFrame containing covariates
pixelcovariates
an optional object of class SpatialPixelsDataFrame containing covariates
Zmat
optional design matrix, if the polygon/polygon overlays have already been computed
beta
the parameters, beta for the model
poisson.offset
the poisson offet, created using a SpatialAtRisk.fromXYZ class of objects
cellwidth
the with of cells on which to do the simulation
model.parameters
the paramters of the model eg list(sigma=1,phi=0.2)
spatial.covmodel
the choice of spatial covariance model, can be anything from the RandomFields covariance function, CovariacenFct.
covpars
additional covariance parameters, for the chosen model, optional.
ext
the amount by which to extend the observation grid in each direction, default is 2
plot
whether to plot the resulting data
inclusion
criterion for cells being included into observation window. Either 'touching' or 'centroid'. The former, the default, includes all cells that touch the observation window, the latter includes all cells whose centroids are inside the observation window.

Value

  • a ppp onject containing the simulated data