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) 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>). 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: | 0.4.1 |
| 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 (≥ 0.3.5), roxygen2, Rsymphony (≥ 0.1-31), rmarkdown, testthat (≥ 3.0.0), raster, tmap, sp, viridis, markdown, data.table, purrr, readr, slam, tibble, methods |
| Published: | 2022-08-16 |
| 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 |
| SystemRequirements: | C++11 |
| Language: | en-US |
| Materials: | README NEWS |
| CRAN checks: | prioriactions results |
| Reference manual: | prioriactions.pdf |
| Vignettes: |
Planning objectives Benefits and sensitivities Mitchell River Introduction to prioriactions |
| Package source: | prioriactions_0.4.1.tar.gz |
| Windows binaries: | r-devel: prioriactions_0.4.1.zip, r-release: prioriactions_0.4.1.zip, r-oldrel: prioriactions_0.4.1.zip |
| macOS binaries: | r-release (arm64): prioriactions_0.4.1.tgz, r-oldrel (arm64): prioriactions_0.4.1.tgz, r-release (x86_64): prioriactions_0.4.1.tgz, r-oldrel (x86_64): prioriactions_0.4.1.tgz |
| Old sources: | prioriactions archive |
Please use the canonical form https://CRAN.R-project.org/package=prioriactions to link to this page.