geostatsp (version 0.7.0)

simLgcp: Simulate a log-Gaussian Cox process

Description

Give covariates and model parameters, simulates a log-Gaussian Cox process

Usage

simLgcp(param, covariates=NULL, betas=NULL, 
	  rasterTemplate=covariates[[1]],  ...)
	simPoissonPP(intensity)

Arguments

param

A vector of named model parameters with, at a minimum names range and rough (see Details), and optionally variance (defaults to 1). For Geometric Anisotropy add aniso.ratio and either aniso.

covariates

Either a raster stack or list of rasters and SpatialPolygonsDataFrames (with the latter having only a single data column).

betas

Coefficients for the covariates

rasterTemplate

Raster on which the latent surface is simulated, defaults to the first covariate.

...

additional arguments, see GaussRF in the RandomFields package.

intensity

Raster of the intensity of a Poisson point process.

Value

• A list with a events element containing the event locations and a raster element containing a raster stack of the covariates, spatial random effect, and intensity.

Examples

mymodel = c(mean=-0.5, variance=1, 
				range=2, rough=2)

myraster = raster(nrows=15,ncols=20,xmn=0,xmx=10,ymn=0,ymx=7.5)

# some covariates, deliberately with a different resolution than myraster
covA = covB = raster(extent(myraster), 10, 10)
values(covA) = as.vector(matrix(1:10, 10, 10))
values(covB) = as.vector(matrix(1:10, 10, 10, byrow=TRUE))

myCovariate = list(a=covA, b=covB)

myLgcp=simLgcp(mymodel, myCovariate, betas=c(a=-0.1, b=0.25), 
	rasterTemplate=myraster)

plot(myLgcp$raster[["intensity"]], main="lgcp")
points(myLgcp$events)

myIntensity = exp(-1+0.2*myCovariate[["a"]])
myPoissonPP = simPoissonPP(myIntensity)
plot(myIntensity, main="Poisson pp")
points(myPoissonPP)