Installation
About
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
prioriactions.github.io/prioriactions/ | |
github.com/prioriactions/prioriactions | |
Bug report | File report |
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Last 365 days | 3.894 +8% |
Maintainer
Maintainer | Jose Salgado-Rojas |
Depends
R | ≥ 3.5.0 |