This project was financed by the National Agency of Research and Development, ANID, Chile, through the grant FONDECYT N.1180670 and through the Complex Engineering Systems Institute PIA/BASAL AFB180003. Also it has received funding from the European Union’s H2020 research and innovation program under the Marie Sklodowska-Curie grant agreement N.691149 (SuFoRun).
The prioriactions package allows you to create and solve
conservation planning problems that involve multiple threats and
actions. This uses techniques of integer linear programming (ILP),
obtaining optimal solutions or with a certain degree of guaranteed
quality (gap). Due to its flexibility, the package offers the
possibility of creating different mathematical models with multiple
requirements (spatial, budget requirements, etc.). All the included
models are presented in detail in Salgado-Rojas et al. (2020). The
package has a variety of commercial and open-source exact algorithm
solvers that guarantee to find optimal solutions.
Package prioriactions can be found at CRAN, where it is
updated every few months. Installation from CRAN can be done via:
install.packages("prioriactions")Also, the latest development version of prioriactions
can be installed from GitHub using
the following code (If you are using Windows, it is necessary to install
Rtools
beforehand).
if (!require(remotes)) install.packages("remotes")
remotes::install_github("prioriactions/prioriactions")You can browse the package documentation online at https://prioriactions.github.io/prioriactions/.
If this is your first time using prioriactions, we
strongly recommend reading the Introduction
to prioriactions vignette.
If you believe you’ve found a bug in prioriactions,
please file a bug (and, if possible, a reproducible example) at https://github.com/prioriactions/prioriactions/issues.