prioritizr: simulate_species – R documentation

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simulate_species

Simulate species habitat suitability data

Description

Generates a random set of species using random field models. By default, the output will contain values between zero and one.

Usage

simulate_species(
  x,
  n = 1,
  model = RandomFields::RMgauss(),
  transform = stats::plogis,
  ...
)

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.

Examples

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

# simulate 4 species
spp <- simulate_species(r, 4)

# plot simulated species
plot(spp, main = "simulated species distributions")

## 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