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. For more information, see Hanson et al. (2019) <doi:10.1111/2041-210X.13264>.
|Author||Jeffrey O Hanson [aut, cre] (<https://orcid.org/0000-0002-4716-6134>), Richard Schuster [aut] (<https://orcid.org/0000-0003-3191-7869>), Matthew Strimas-Mackey [aut] (<https://orcid.org/0000-0001-8929-7776>), Joseph R Bennett [aut] (<https://orcid.org/0000-0002-3901-9513>)|
|Maintainer||Jeffrey O Hanson <firstname.lastname@example.org>|
|Package repository||View on CRAN|
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