lgcpSimSpatialCovariates {lgcp}

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