simPts: Simulates point process on a rectangular grid

In DSpat: Spatial Modelling for Distance Sampling Data

Description

Generates a set of points from either a homogeneous or inhomogeneous Poisson process with optional clustering. This is a wrapper function for rpoispp from the spatstat package. The intensity is defined by covariates on a grid, an intensity formula and parameters. The correlation structure is defined by the model and the correlation parameters.

Usage

simPts(covariates,int.formula=~1, int.par=c(1), EN=100,
                    model, showplot=FALSE, showpts=FALSE, ...)

Arguments

covariates	a matrix with columns x,y and any number of covariates x and y are the mid points of the grid cells; the order of the rows must match the formulation for function im
int.formula	formula for deriving expected intensity from covariates
int.par	parameters for intensity formula
EN	expected number of points
model	a spatial model for suimulation. See RFsimulate for further specification.
showplot	if TRUE, plot intensity and point process
showpts	if TRUE show points on the plot
...	parameters, if any, passed to plot

Value

ppp object of point locations

Author(s)

Devin Johnson; Jeff Laake

See Also

simCovariates

Examples

hab.range=30
probs=c(1/3,2/3)
covariates = simCovariates(hab.range, probs)
xpp=simPts(covariates=covariates,int.formula=~factor(habitat),int.par=c(0,1,2))
plot(xpp)

DSpat documentation built on May 2, 2019, 11:10 a.m.