Simulate spatially auto-correlated data using Gaussian random fields.
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 sf
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() or raster::raster() or sf::st_sf()
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 the identity() function such that values remain the same
following transformation.
|
Value
A terra::rast()
or raster::raster()
or sf::st_sf()
object.
Examples
if (FALSE) {
# create raster
r <- terra::rast(
ncols = 10, nrows = 10, xmin = 0, xmax = 1, ymin = 0, ymax = 1, vals = 1
)
# simulate data using a Gaussian field
x <- simulate_data(r, n = 1, scale = 0.2)
# plot simulated data
plot(x, main = "simulated data", axes = FALSE)
}