basic_scenario {priorCON} | R Documentation |
Solve an ordinary prioritizr prioritization problem.
basic_scenario(cost_raster, features_rasters, budget_perc)
cost_raster |
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features_rasters |
features |
budget_perc |
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A basic prioritization problem is created and solved using prioritizr package. The solver used for solving the problems is the best available on the computer, following the solver hierarchy of prioritizr. By default, the highs package using the HiGHS solver is downloaded during package installation.
A list containing input for get_outputs.
Hanson, Jeffrey O, Richard Schuster, Nina Morrell, Matthew Strimas-Mackey, Brandon P M Edwards, Matthew E Watts, Peter Arcese, Joseph Bennett, and Hugh P Possingham. 2024. prioritizr: Systematic Conservation Prioritization in R. https://prioritizr.net.
Huangfu, Qi, and JA Julian Hall. 2018. Parallelizing the Dual Revised Simplex Method. Mathematical Programming Computation 10 (1): 119–42. doi:10.1007/s12532-017-0130-5
preprocess_graphs,
get_metrics
# Read connectivity files from folder and combine them
combined_edge_list <- preprocess_graphs(system.file("external", package="priorCON"),
header = FALSE, sep =";")
# Set seed for reproducibility
set.seed(42)
cost_raster <- get_cost_raster()
features_rasters <- get_features_raster()
# Solve an ordinary prioritizr prioritization problem
basic_solution <- basic_scenario(cost_raster=cost_raster,
features_rasters=features_rasters, budget_perc=0.1)