Simulate spatially auto-correlated data.

simulate_data(x, n, model, transform = identity, ...)

Arguments

x

RasterLayer-class object to use as

n

integer number of species to simulate.

model

RP model object to use for simulating data.

transform

function to transform values output from the random fields simulation.

...

additional arguments passed to RFsimulate.

Value

RasterStack-class object with a layer for each species.

See also

Examples

# create raster r <- raster(ncol=10, nrow=10, xmn=0, xmx=1, ymn=0, ymx=1) values(r) <- 1 # simulate data using a Gaussian field d <- simulate_data(r, n = 1, model = RandomFields::RMgauss()) # plot simulated data plot(d, main = "random Gaussian field")