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simulate_data

Simulate data

Description

Simulate spatially auto-correlated data.

Usage

simulate_data(x, n, model, transform = identity, ...)

Arguments

x

RasterLayer object to use as a template.
n

integer number of species to simulate.
model

RandomFields::RP() model object to use for simulating data.
transform

function to transform values output from the random fields simulation.
...

additional arguments passed to RandomFields::RFsimulate().

Value

RasterStack object with a layer for each species.

See Also

Examples

## Not run: 
# create raster
r <- raster(ncol=10, nrow=10, xmn=0, xmx=1, ymn=0, ymx=1)
values(r) <- 1

# simulate data using a Gaussian field
d <- simulate_data(r, n = 1, model = RandomFields::RMgauss())

# plot simulated data
plot(d, main = "random Gaussian field")

## End(Not run)
prioritizr

Systematic Conservation Prioritization in R

v7.0.1
GPL-3
Authors
Jeffrey O Hanson [aut] (<https://orcid.org/0000-0002-4716-6134>), Richard Schuster [aut, cre] (<https://orcid.org/0000-0003-3191-7869>), Nina Morrell [aut], Matthew Strimas-Mackey [aut] (<https://orcid.org/0000-0001-8929-7776>), Matthew E Watts [aut], Peter Arcese [aut] (<https://orcid.org/0000-0002-8097-482X>), Joseph Bennett [aut] (<https://orcid.org/0000-0002-3901-9513>), Hugh P Possingham [aut] (<https://orcid.org/0000-0001-7755-996X>)
Initial release

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