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prioritizr
Systematic Conservation Prioritization in R
View on CRAN: Click
here
Download and install prioritizr package within the R console
Install from CRAN:
install.packages("prioritizr")
Install from Github:
library("remotes")
install_github("cran/prioritizr") Install by package version:
library("remotes")
install_version("prioritizr", "8.0.6") Attach the package and use:
library("prioritizr")
Maintained by
Richard Schuster
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
prioritizrdata . 10.32614/CRAN.package.prioritizr . https://github.com/prioritizr/prioritizr/issues . https://prioritizr.net . https://github.com/prioritizr/prioritizr . prioritizr citation info . prioritizr results . prioritizr.pdf . prioritizr_8.0.6.tar.gz . prioritizr_8.0.6.zip . prioritizr_8.0.6.zip . prioritizr_8.0.6.zip . prioritizr_8.0.6.tgz . prioritizr_8.0.6.tgz . prioritizr_8.0.6.tgz . prioritizr_8.0.6.tgz . prioritizr_8.0.6.tgz . prioritizr_8.0.6.tgz . prioritizr archive . https://CRAN.R-project.org/package=prioritizr .
First Published: 2016-12-01
Latest Update: 2023-08-08
Description:
Systematic conservation prioritization using mixed integer linear
programming (MILP). It provides a flexible interface for building and
solving conservation planning problems. Once built, conservation planning
problems can be solved using a variety of commercial and open-source exact
algorithm solvers. By using exact algorithm solvers, solutions can be
generated that are guaranteed to be optimal (or within a pre-specified
optimality gap). Furthermore, conservation problems can be constructed to
optimize the spatial allocation of different management actions or zones,
meaning that conservation practitioners can identify solutions that benefit
multiple stakeholders. To solve large-scale or complex conservation
planning problems, users should install the Gurobi optimization software
(available from ) and the 'gurobi' R package (see
Gurobi Installation Guide vignette for details). Users can also install the
IBM CPLEX software () and
the 'cplexAPI' R package (available at ).
Additionally, the 'rcbc' R package (available at
) can be used to generate solutions
using the CBC optimization software ().
How to cite:
Richard Schuster (2016). prioritizr: Systematic Conservation Prioritization in R. R package version 8.0.6, https://cran.r-project.org/web/packages/prioritizr. Accessed 10 Apr. 2025.
Previous versions and publish date:
0.1.2 (2016-12-01 21:32), 3.0.1 (2017-11-08 10:40), 3.0.3 (2017-11-22 11:08), 3.0.4 (2018-03-25 17:23), 4.0.1 (2018-05-26 17:40), 4.0.2 (2018-06-28 23:58), 4.0.3 (2019-04-08 23:20), 4.0.4 (2019-04-12 14:32), 4.1.1 (2019-06-06 18:40), 4.1.3 (2019-09-07 00:40), 4.1.4 (2019-10-03 11:10), 4.1.5 (2020-02-06 02:00), 5.0.1 (2020-05-15 11:50), 5.0.2 (2020-07-30 14:40), 5.0.3 (2020-11-24 08:30), 7.0.1 (2021-03-31 14:40), 7.1.1 (2021-10-30 00:50), 7.2.2 (2022-09-17 21:56), 8.0.0 (2023-03-29 09:00), 8.0.2 (2023-05-01 22:00), 8.0.3 (2023-08-09 01:00), 8.0.4 (2024-06-05 23:40)
Other packages that cited prioritizr R package
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Other R packages that prioritizr depends,
imports, suggests or enhances
Complete documentation for prioritizr
Functions, R codes and Examples using
the prioritizr R package
Some associated functions: ConservationModifier-class . ConservationProblem-class . Constraint-class . Decision-class . Objective-class . OptimizationProblem-class . OptimizationProblem-methods . Penalty-class . Portfolio-class . Solver-class . Target-class . add_absolute_targets . add_asym_connectivity_penalties . add_binary_decisions . add_boundary_penalties . add_cbc_solver . add_connectivity_penalties . add_contiguity_constraints . add_cplex_solver . add_cuts_portfolio . add_default_solver . add_extra_portfolio . add_feature_contiguity_constraints . add_feature_weights . add_gap_portfolio . add_gurobi_solver . add_highs_solver . add_linear_constraints . add_linear_penalties . add_locked_in_constraints . add_locked_out_constraints . add_loglinear_targets . add_lsymphony_solver . add_mandatory_allocation_constraints . add_manual_bounded_constraints . add_manual_locked_constraints . add_manual_targets . add_max_cover_objective . add_max_features_objective . add_max_phylo_div_objective . add_max_phylo_end_objective . add_max_utility_objective . add_min_largest_shortfall_objective . add_min_set_objective . add_min_shortfall_objective . add_neighbor_constraints . add_proportion_decisions . add_relative_targets . add_rsymphony_solver . add_semicontinuous_decisions . add_shuffle_portfolio . add_top_portfolio . adjacency_matrix . binary_stack . boundary_matrix . branch_matrix . category_layer . category_vector . compile . connectivity_matrix . constraints . decisions . eval_asym_connectivity_summary . eval_boundary_summary . eval_connectivity_summary . eval_cost_summary . eval_feature_representation_summary . eval_ferrier_importance . eval_n_summary . eval_rare_richness_importance . eval_replacement_importance . eval_target_coverage_summary . fast_extract . feature_abundances . feature_names . importance . intersecting_units . knit_print . loglinear_interpolation . marxan_boundary_data_to_matrix . marxan_connectivity_data_to_matrix . marxan_problem . new_waiver . number_of_features . number_of_planning_units . number_of_total_units . number_of_zones . objectives . optimization_problem . penalties . portfolios . presolve_check . prioritizr-deprecated . prioritizr . problem . proximity_matrix . reexports . rescale_matrix . rij_matrix . run_calculations . show . sim_data . simulate_cost . simulate_data . simulate_species . solve . solvers . summaries . targets . tibble-methods . write_problem . zone_names . zones .
Some associated R codes: ConservationModifier-class.R . ConservationProblem-class.R . Constraint-class.R . Decision-class.R . Objective-class.R . OptimizationProblem-class.R . OptimizationProblem-methods.R . Penalty-class.R . Portfolio-class.R . RcppExports.R . Solver-class.R . Target-class.R . add_absolute_targets.R . add_asym_connectivity_penalties.R . add_binary_decisions.R . add_boundary_penalties.R . add_cbc_solver.R . add_compile_solver.R . add_connectivity_penalties.R . add_contiguity_constraints.R . add_cplex_solver.R . add_cuts_portfolio.R . add_default_solver.R . add_extra_portfolio.R . add_feature_contiguity_constraints.R . add_feature_weights.R . add_gap_portfolio.R . add_gurobi_solver.R . add_highs_solver.R . add_linear_constraints.R . add_linear_penalties.R . add_locked_in_constraints.R . add_locked_out_constraints.R . add_loglinear_targets.R . add_lpsymphony_solver.R . add_mandatory_allocation_constraints.R . add_manual_bounded_constraints.R . add_manual_locked_constraints.R . add_manual_targets.R . add_max_cover_objective.R . add_max_features_objective.R . add_max_phylo_div_objective.R . add_max_phylo_end_objective.R . add_max_utility_objective.R . add_min_largest_shortfall_objective.R . add_min_set_objective.R . add_min_shortfall_objective.R . add_neighbor_constraints.R . add_proportion_decisions.R . add_relative_targets.R . add_rsymphony_solver.R . add_semicontinuous_decisions.R . add_shuffle_portfolio.R . add_top_portfolio.R . adjacency_matrix.R . all_binary.R . all_columns_any_finite.R . all_columns_inherit.R . all_finite.R . all_positive.R . all_proportion.R . any_nonNA.R . any_nonzero.R . as.R . as_Matrix.R . assertions.R . assertions_class.R . assertions_misc.R . assertions_raster.R . assertions_sf.R . assertions_vector.R . binary_stack.R . boundary_matrix.R . branch_matrix.R . category_layer.R . category_vector.R . cli.R . compile.R . connectivity_matrix.R . constraints.R . data.R . decisions.R . deprecated.R . eval_asym_connectivity_summary.R . eval_boundary_summary.R . eval_connectivity_summary.R . eval_cost_summary.R . eval_feature_representation_summary.R . eval_ferrier_importance.R . eval_n_summary.R . eval_rare_richness_importance.R . eval_replacement_importance.R . eval_target_coverage_summary.R . external-classes.R . fast_extract.R . feature_abundances.R . feature_names.R . get_crs.R . importance.R . internal.R . intersecting_units.R . is_numeric_values.R . is_same_crs.R . is_spatial_extents_overlap.R . knit_print.R . list_text.R . loglinear_interpolation.R . marxan_boundary_data_to_matrix.R . marxan_connectivity_data_to_matrix.R . marxan_problem.R . number_of_features.R . number_of_planning_units.R . number_of_total_units.R . number_of_zones.R . objectives.R . optimization_problem.R . package.R . penalties.R . planning_unit_solution_status.R . portfolios.R . presolve_check.R . print.R . problem-deprecated.R . problem.R . proximity_matrix.R . reexports.R . repr.R . rescale_matrix.R . rij_matrix.R . run_calculations.R . show.R . simulate.R . solve.R . solvers.R . st_geometry_classes.R . summaries.R . summary.R . targets.R . tbl_df.R . test-helpers.R . waiver.R . write_problem.R . zone_names.R . zones.R . zzz.R . Full prioritizr package functions and examples
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