Generates a simple autocorrelated variable data with Gaussian simulations with Spherical model.

Generates a new variable data with Gaussian simulations with Spherical model where we can control some parameters of this variables (mean, deviation and spatial autocorrelation). Can be used, for instance, to create a variable simulating and spatially aggregated patter as vegetation patches.

generateVar(nrow, ncol, Vmean, Vsd, Vrange)

Arguments

nrow: Row number of the grid to be created.
ncol: Column number of the grid to be created.
Vmean: Mean value of the variabl to be created.
Vsd: Standard deviation for variable distribution.
Vrange: Range distance for the autocorrelation model.

Details

Value

Returns a data frame with generated grid coordinates and values generated.

References

Author

Note

Examples

set.seed(1234)

# With default parameters
var <- generateVar(101, 101, 1, 0.1, 15)
#> [using unconditional Gaussian simulation]
rst <- rast(var, type="xyz")

plot(rst)