lgcpSimSpatial: lgcpSimSpatial function

In lgcp: Log-Gaussian Cox Process

lgcpSimSpatial function

Description

A function to simulate from a log gaussian process

Usage

lgcpSimSpatial(
  owin = NULL,
  spatial.intensity = NULL,
  expectednumcases = 100,
  cellwidth = 0.05,
  model.parameters = lgcppars(sigma = 2, phi = 0.2),
  spatial.covmodel = "exponential",
  covpars = c(),
  ext = 2,
  plot = FALSE,
  inclusion = "touching"
)

Arguments

owin	observation window
spatial.intensity	an object that can be coerced to one of class spatialAtRisk
expectednumcases	the expected number of cases
cellwidth	width of cells in same units as observation window
model.parameters	parameters of model, see ?lgcppars. Only set sigma and phi for spatial model.
spatial.covmodel	spatial covariance function, default is exponential, see ?CovarianceFct
covpars	vector of additional parameters for spatial covariance function, in order they appear in chosen model in ?CovarianceFct
ext	how much to extend the parameter space by. Default is 2.
plot	logical, whether to plot the latent field.
inclusion	criterion for cells being included into observation window. Either 'touching' or 'centroid'. The former includes all cells that touch the observation window, the latter includes all cells whose centroids are inside the observation window.

Value

a ppp object containing the data

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