Optimal Project Prioritization

A decision support tool for prioritizing conservation projects. Prioritizations can be developed by maximizing expected feature richness, expected phylogenetic diversity, the number of features that meet persistence targets, or identifying a set of projects that meet persistence targets for minimal cost. Constraints (e.g. lock in specific actions) and feature weights can also be specified to further customize prioritizations. After defining a project prioritization problem, solutions can be obtained using exact algorithms, heuristic algorithms, or random processes. In particular, it is recommended to install the 'Gurobi' optimizer (available from < https://www.gurobi.com>) because it can identify optimal solutions very quickly. Finally, methods are provided for comparing different prioritizations and evaluating their benefits.


Reference manual

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0.0.3 by Jeffrey O Hanson, 8 days ago

https://prioritizr.github.io/oppr, https://github.com/prioritizr/oppr

Report a bug at https://github.com/prioritizr/oppr/issues

Browse source code at https://github.com/cran/oppr

Authors: Jeffrey O Hanson [aut, cre] , Richard Schuster [aut] , Matthew Strimas-Mackey [aut] , Joeseph Bennett [aut]

Documentation:   PDF Manual  

GPL-3 license

Imports utils, methods, stats, Matrix, magrittr, uuid, proto, cli, assertthat, tibble, ape, tidytree, ggplot2, viridisLite, lpSolveAPI

Suggests testthat, knitr, roxygen2, rmarkdown, gurobi, ggtree, Rsymphony, lpsymphony, shiny, rhandsontable, tidyr

Linking to Rcpp, RcppArmadillo, RcppProgress

System requirements: C++11

See at CRAN