{ "_id": "6a1d2bbe1d7bb097a0a38e63", "Package": "prioriactions", "Type": "Package", "Version": "0.5.0", "Title": "Multi-Action Conservation Planning", "Description": "This uses a mixed integer mathematical programming (MIP)\napproach for building and solving multi-action planning\nproblems, where the goal is to find an optimal combination of\nmanagement actions that abate threats, in an efficient way\nwhile accounting for spatial aspects. Thus, optimizing the\nconnectivity and conservation effectiveness of the prioritized\nunits and of the deployed actions. The package is capable of\nhandling different commercial (gurobi, CPLEX) and\nnon-commercial (symphony, CBC) MIP solvers. Gurobi optimization\nsolver can be installed using comprehensive instructions in the\n'gurobi' installation vignette of the prioritizr package\n(available in\n).\nInstead, 'CPLEX' optimization solver can be obtain from IBM\nCPLEX web page (available here\n).\nAdditionally, the 'rcbc' R package (available at\n) can be used to obtain\nsolutions using the CBC optimization software\n(). Methods used in the package\nrefers to Salgado-Rojas et al. (2020)\n, Beyer et al. (2016)\n, Cattarino et al. (2015)\n and Watts et al. (2009)\n. See the prioriactions\nwebsite for more information, documentations and examples.", "Authors@R": "c(person(c('Jose'), 'Salgado-Rojas',\nemail='jose.salgroj@gmail.com', role = c('aut','cre')),\nperson(c('Irlanda'), 'Ceballos-Fuentealba',\nemail='iceballosfuentealba@gmail.com', role = c('aut')),\nperson(c('Virgilio'), 'Hermoso',\nemail='virgilio.hermoso@gmail.com', role = c('aut')),\nperson(c('Eduardo'), 'Alvarez-Miranda',\nemail='eduardo.alvmir@gmail.com', role = c('aut')),\nperson(c('Jordi'), 'Garcia-Gonzalo',\nemail='j.garcia@ctfc.es', role = c('aut')))", "Encoding": "UTF-8", "LazyData": "true", "License": "GPL (>= 2)", "Language": "en-US", "RoxygenNote": "7.2.3", "URL": "https://prioriactions.github.io/prioriactions/,\nhttps://github.com/prioriactions/prioriactions", "BugReports": "https://github.com/prioriactions/prioriactions/issues", "VignetteBuilder": "knitr", "Collate": "'RcppExports.R' 'internal.R' 'data-class.R' 'writeOutputs.R'\n'optimizationProblem-class.R' 'presolve.R' 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