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prioriactions: Multi-Action Conservation Planning

This uses a mixed integer mathematical programming (MIP) approach for building and solving multi-action planning problems, where the goal is to find an optimal combination of management actions that abate threats, in an efficient way while accounting for spatial aspects. Thus, optimizing the connectivity and conservation effectiveness of the prioritized units and of the deployed actions. The package is capable of handling different commercial (gurobi, CPLEX) and non-commercial (symphony, CBC) MIP solvers. Gurobi optimization solver can be installed using comprehensive instructions in the 'gurobi' installation vignette of the prioritizr package (available in <https://prioritizr.net/articles/gurobi_installation_guide.html>). Instead, 'CPLEX' optimization solver can be obtain from IBM CPLEX web page (available here <https://www.ibm.com/es-es/products/ilog-cplex-optimization-studio>). Additionally, the 'rcbc' R package (available at <https://github.com/dirkschumacher/rcbc>) can be used to obtain solutions using the CBC optimization software (<https://github.com/coin-or/Cbc>). Methods used in the package refers to Salgado-Rojas et al. (2020) <doi:10.1016/j.ecolmodel.2019.108901>, Beyer et al. (2016) <doi:10.1016/j.ecolmodel.2016.02.005>, Cattarino et al. (2015) <doi:10.1371/journal.pone.0128027> and Watts et al. (2009) <doi:10.1016/j.envsoft.2009.06.005>. See the prioriactions website for more information, documentations and examples.

Version: 0.5.0
Depends: R (≥ 3.5.0)
Imports: assertthat (≥ 0.2.0), Matrix, proto, magrittr, tidyr, dplyr, Rcpp, rlang
LinkingTo: Rcpp, RcppArmadillo (≥ 0.10.1.0.0), BH
Suggests: knitr, gurobi (≥ 9.0), Rcplex, roxygen2, rcbc, Rsymphony (≥ 0.1-31), rmarkdown, testthat (≥ 3.0.0), raster, tmap, sp, viridis, markdown, data.table, purrr, readr, slam, tibble, methods, reshape2
Published: 2023-08-13
DOI: 10.32614/CRAN.package.prioriactions
Author: Jose Salgado-Rojas [aut, cre], Irlanda Ceballos-Fuentealba [aut], Virgilio Hermoso [aut], Eduardo Alvarez-Miranda [aut], Jordi Garcia-Gonzalo [aut]
Maintainer: Jose Salgado-Rojas <jose.salgroj at gmail.com>
BugReports: https://github.com/prioriactions/prioriactions/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://prioriactions.github.io/prioriactions/, https://github.com/prioriactions/prioriactions
NeedsCompilation: yes
Language: en-US
Materials: README NEWS
CRAN checks: prioriactions results

Documentation:

Reference manual: prioriactions.pdf
Vignettes: Solver benchmarks
Planning objectives
Benefits and sensitivities
Mitchell River
Introduction to prioriactions

Downloads:

Package source: prioriactions_0.5.0.tar.gz
Windows binaries: r-devel: prioriactions_0.5.0.zip, r-release: prioriactions_0.5.0.zip, r-oldrel: prioriactions_0.5.0.zip
macOS binaries: r-release (arm64): prioriactions_0.5.0.tgz, r-oldrel (arm64): prioriactions_0.5.0.tgz, r-release (x86_64): prioriactions_0.5.0.tgz, r-oldrel (x86_64): prioriactions_0.5.0.tgz
Old sources: prioriactions archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=prioriactions 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.