Simulate spatially auto-correlated data using Gaussian random fields.
Usage
simulate_data(x, n, scale, intensity, sd, transform)
# S3 method for Raster
simulate_data(
x,
n = 1,
scale = 0.5,
intensity = 0,
sd = 1,
transform = identity
)
# S3 method for SpatRaster
simulate_data(
x,
n = 1,
scale = 0.5,
intensity = 0,
sd = 1,
transform = identity
)
Arguments
- x
terra::rast()
object to use as a template.- n
integer
number of layers to simulate. Defaults to 1.- scale
numeric
parameter to control level of spatial auto-correlation in the simulated data. Defaults to 0.5.- intensity
numeric
average value of simulated data. Defaults to 0.- sd
numeric
standard deviation of simulated data. Defaults to 1.- transform
function
transform values output from the simulation. Defaults to theidentity()
function such that values remain the same following transformation.
Value
A terra::rast()
object.
See also
Other simulations:
simulate_cost()
,
simulate_species()