lgcpSimMultitypeSpatialCovariates: lgcpSimMultitypeSpatialCovariates function

In lgcp: Log-Gaussian Cox Process

lgcpSimMultitypeSpatialCovariates function

Description

A function to Simulate multivariate point process models

Usage

lgcpSimMultitypeSpatialCovariates(
  formulaList,
  owin,
  regionalcovariates,
  pixelcovariates,
  betaList,
  spatial.offsetList = NULL,
  cellwidth,
  model.parameters,
  spatial.covmodel = "exponential",
  covpars = c(),
  ext = 2,
  plot = FALSE,
  inclusion = "touching"
)

Arguments

formulaList	a list of formulae objetcs
owin	a spatstat owin object on which to simulate the data
regionalcovariates	a SpatialPolygonsDataFrame object
pixelcovariates	a SpatialPixelsDataFrame object
betaList	list of beta parameters
spatial.offsetList	list of poisson offsets
cellwidth	cellwidth
model.parameters	model parameters, a list 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	number of times to extend the simulation window
plot	whether to plot the results automatically
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 marked ppp object, the simulated data

lgcp documentation built on Oct. 3, 2023, 5:08 p.m.