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>). For further details, see Hanson et al. (2024) <doi:10.1111/cobi.14376>.
Version: | 8.0.6 |
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: | 2025-01-09 |
Author: | Jeffrey O Hanson [aut], Richard Schuster [aut, cre], Nina Morrell [aut], Matthew Strimas-Mackey [aut], Brandon P M Edwards [aut], Matthew E Watts [aut], Peter Arcese [aut], Joseph R Bennett [aut], Hugh P Possingham [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 |
Citation: | prioritizr citation info |
Materials: | README NEWS |
CRAN checks: | prioritizr results |
Reference manual: | prioritizr.pdf |
Vignettes: |
Calibrating trade-offs tutorial (source) Connectivity tutorial (source) Gurobi installation guide (source) Management zones tutorial (source) Package overview (source) Getting started (source) Publication record (source) Solver benchmarks (source) |
Package source: | prioritizr_8.0.6.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 imports: | prior3D, priorCON |
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