Generate prioritizations using RAP

This is a general function to create Rap objects from scratch and solve them to generate solutions.

rap(
  pus,
  species,
  spaces = NULL,
  formulation = c("unreliable", "reliable")[1],
  solve = TRUE,
  ...
)

Arguments

pus: sf::st_as_sf() object representing planning units.
species: terra::rast() object with species distribution data.
spaces: terra::rast() or list of terra::rast() objects. Each elements denotes the spatial distribution for each space. Defaults to NULL such that spaces are generated automatically.
formulation: character to indicate if the "unreliable" or "reliable" formulation should be used to generate prioritizations. Defaults to "unreliable".
solve: logical should solutions be generated?
...: arguments are passed to GurobiOpts(), make.RapData(), and RapReliableOpts() or RapUnreliableOpts() functions.

A new RapSolved() object if solve is TRUE, otherwise an RapUnsolved() is returned.

Type vignette("raptr") to see the package vignette for a tutorial.