simulate_cost: Simulate cost data

In prioritizr/prioritizrutils: Utilities for prioritizr

Description

This function generates cost layers using random field models. By default, it returns spatially autocorrelated integer values.

Usage

simulate_cost(x, n = 1,
  model = RandomFields::RPpoisson(RandomFields::RMtruncsupport(radius =
  raster::xres(x) * 10, RandomFields::RMgauss())), 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.

See Also

simulate_data.

Examples

## Not run: 

# create raster
r <- raster(ncol=10, nrow=10, xmn=0, xmx=1, ymn=0, ymx=1)
values(r) <- 1

# simulate data
cost <- simulate_cost(r)

# plot simulated species
plot(cost, main = "simulated cost data")


## End(Not run)

prioritizr/prioritizrutils documentation built on May 25, 2019, 12:20 p.m.