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prioriactions
Multi-Action Conservation Planning
View on CRAN: Click
here
Download and install prioriactions package within the R console
Install from CRAN:
install.packages("prioriactions")
Install from Github:
library("remotes")
install_github("cran/prioriactions") Install by package version:
library("remotes")
install_version("prioriactions", "0.5.0") Attach the package and use:
library("prioriactions")
Maintained by
Jose Salgado-Rojas
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.prioriactions . https://github.com/prioriactions/prioriactions/issues . https://prioriactions.github.io/prioriactions/ . https://github.com/prioriactions/prioriactions . prioriactions results . prioriactions.pdf . Introduction to prioriactions . prioriactions_0.5.0.tar.gz . prioriactions_0.5.0.zip . prioriactions_0.5.0.zip . prioriactions_0.5.0.zip . prioriactions_0.5.0.tgz . prioriactions_0.5.0.tgz . prioriactions_0.5.0.tgz . prioriactions_0.5.0.tgz . prioriactions_0.5.0.tgz . prioriactions_0.5.0.tgz . prioriactions archive . https://CRAN.R-project.org/package=prioriactions .
First Published: 2021-12-15
Latest Update: 2023-08-13
Description:
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
). Instead, 'CPLEX'
optimization solver can be obtain from IBM CPLEX web page (available here
). Additionally,
the 'rcbc' R package (available at
) can be used to obtain solutions
using the CBC optimization software (). Methods used in the
package refers to Salgado-Rojas et al. (2020) ,
Beyer et al. (2016) , Cattarino et al. (2015)
and Watts et al. (2009) .
See the prioriactions website for more information, documentations and examples.
How to cite:
Jose Salgado-Rojas (2021). prioriactions: Multi-Action Conservation Planning. R package version 0.5.0, https://cran.r-project.org/web/packages/prioriactions. Accessed 30 Mar. 2025.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for prioriactions
Functions, R codes and Examples using
the prioriactions R package
Some associated functions: data-class . evalBlm . evalBudget . evalTarget . getActions . getConnectivityPenalty . getCost . getModelInfo . getPerformance . getPotentialBenefit . getSolutionBenefit . inputData . optimizationProblem-class . pipe . portfolio-class . print . prioriactions . problem . show . simData . solution-class . solve .
Some associated R codes: RcppExports.R . data-class.R . evalBlm.R . evalBudget.R . evalTarget.R . getActions.R . getConnectivityPenalty.R . getCost.R . getModelInfo.R . getPerformance.R . getPotentialBenefit.R . getSolutionBenefit.R . inputData.R . internal.R . optimizationProblem-class.R . package.R . portfolio-class.R . presolve.R . print.R . problem.R . problem_modifier.R . show.R . simData.R . solution-class.R . solve.R . utils-pipe.R . writeOutputs.R . zzz.R . Full prioriactions package functions and examples
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