simulate_data {prioritizr} | R Documentation |
Simulate data
Description
Simulate spatially auto-correlated data using Gaussian random fields.
Usage
simulate_data(x, n, scale, intensity, sd, transform)
## S3 method for class 'Raster'
simulate_data(
x,
n = 1,
scale = 0.5,
intensity = 0,
sd = 1,
transform = identity
)
## S3 method for class 'SpatRaster'
simulate_data(
x,
n = 1,
scale = 0.5,
intensity = 0,
sd = 1,
transform = identity
)
Arguments
x |
|
n |
|
scale |
|
intensity |
|
sd |
|
transform |
|
Value
A terra::rast()
object.
See Also
Other simulations:
simulate_cost()
,
simulate_species()
Examples
## Not run:
# 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)
## End(Not run)
[Package prioritizr version 8.0.4 Index]