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prioritizr: Systematic Conservation Prioritization in R

Systematic conservation prioritization using mixed integer linear programming (MILP). It provides a flexible interface for building and solving conservation planning problems. Once built, conservation planning problems can be solved using a variety of commercial and open-source exact algorithm solvers. By using exact algorithm solvers, solutions can be generated that are guaranteed to be optimal (or within a pre-specified optimality gap). Furthermore, conservation problems can be constructed to optimize the spatial allocation of different management actions or zones, meaning that conservation practitioners can identify solutions that benefit multiple stakeholders. To solve large-scale or complex conservation planning problems, users should install the Gurobi optimization software (available from <https://www.gurobi.com/>) and the 'gurobi' R package (see Gurobi Installation Guide vignette for details). Users can also install the IBM CPLEX software (<https://www.ibm.com/products/ilog-cplex-optimization-studio/cplex-optimizer>) and the 'cplexAPI' R package (available at <https://github.com/cran/cplexAPI>). Additionally, the 'rcbc' R package (available at <https://github.com/dirkschumacher/rcbc>) can be used to generate solutions using the CBC optimization software (<https://github.com/coin-or/Cbc>).

Version: 8.0.4
Depends: R (≥ 4.1.0)
Imports: utils, methods, parallel, R6 (≥ 2.5.1), rlang (≥ 1.0.6), cli (≥ 3.6.0), sf (≥ 1.0-12), terra (≥ 1.6-53), raster (≥ 3.6.11), Matrix (≥ 1.3-0), assertthat (≥ 0.2.0), slam (≥ 0.1-48), igraph (≥ 2.0.3), ape (≥ 5.6-1), magrittr (≥ 2.0.1), exactextractr (≥ 0.8.1), tibble (≥ 2.0.0), withr (≥ 2.3.0)
LinkingTo: Rcpp (≥ 1.0.7), RcppArmadillo (≥ 0.10.7.3.0), BH (≥ 1.75.0-0)
Suggests: testthat (≥ 3.1.0), knitr (≥ 1.36), scales (≥ 1.1.1), gurobi (≥ 8.0-1), rcbc (≥ 0.1.0.9001), cplexAPI (≥ 1.4.0), lpsymphony (≥ 1.17.0), Rsymphony (≥ 0.1-31), highs (≥ 0.1-10), rmarkdown (≥ 2.11), prioritizrdata (≥ 0.2.4), data.table (≥ 1.14.2), fields (≥ 14.0)
Published: 2024-06-05
DOI: 10.32614/CRAN.package.prioritizr
Author: Jeffrey O Hanson ORCID iD [aut], Richard Schuster ORCID iD [aut, cre], Nina Morrell [aut], Matthew Strimas-Mackey ORCID iD [aut], Brandon P M Edwards ORCID iD [aut], Matthew E Watts [aut], Peter Arcese ORCID iD [aut], Joseph R Bennett ORCID iD [aut], Hugh P Possingham ORCID iD [aut]
Maintainer: Richard Schuster <richard.schuster at glel.carleton.ca>
BugReports: https://github.com/prioritizr/prioritizr/issues
License: GPL-3
URL: https://prioritizr.net, https://github.com/prioritizr/prioritizr
NeedsCompilation: yes
Language: en-US
Materials: README NEWS
CRAN checks: prioritizr results

Documentation:

Reference manual: prioritizr.pdf
Vignettes: Calibrating trade-offs tutorial
Connectivity tutorial
Gurobi installation guide
Management zones tutorial
Package overview
Getting started
Publication record
Solver benchmarks

Downloads:

Package source: prioritizr_8.0.4.tar.gz
Windows binaries: r-devel: prioritizr_8.0.4.zip, r-release: prioritizr_8.0.4.zip, r-oldrel: prioritizr_8.0.4.zip
macOS binaries: r-release (arm64): prioritizr_8.0.4.tgz, r-oldrel (arm64): prioritizr_8.0.4.tgz, r-release (x86_64): prioritizr_8.0.4.tgz, r-oldrel (x86_64): prioritizr_8.0.4.tgz
Old sources: prioritizr archive

Reverse dependencies:

Reverse imports: prior3D, priorCON

Linking:

Please use the canonical form https://CRAN.R-project.org/package=prioritizr to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.