rap: Generate prioritizations using RAP

In raptr: Representative and Adequate Prioritization Toolkit in R

Generate prioritizations using RAP

Description

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

Usage

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.

Value

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

Note

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

See Also

GurobiOpts(), RapReliableOpts(), RapUnreliableOpts() RapData(), RapResults(), RapUnsolved(), RapSolved().

raptr documentation built on June 22, 2024, 11:13 a.m.