Other packages > Find by keyword >

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", "8.1.0")



Attach the package and use:
library("prioritizr")
Maintained by
Richard Schuster
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-12-01
Latest Update: 2025-01-09
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 8.1.0, https://cran.r-project.org/web/packages/prioritizr. Accessed 21 Sep. 2026.
Previous versions and publish date:
(2026-07-09 06:43), 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), 8.0.6 (2025-01-09 17:40)
Other packages that cited prioritizr R package
View prioritizr citation profile
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
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

tripack  
Triangulation of Irregularly Spaced Data
A constrained two-dimensional Delaunay triangulation package providing both triangulation and genera ...
Download / Learn more Package Citations See dependency  
outerbase  
Outer Product Regression
High-dimensional regression using outer product models. Research on the methods is currently under ...
Download / Learn more Package Citations See dependency  
iSFun  
Integrative Dimension Reduction Analysis for Multi-Source Data
The implement of integrative analysis methods based on a two-part penalization, which realizes dimen ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
figuRes2  
Support for a Variety of Figure Production Tasks
We view a figure as a collection of graphs/tables assembled on a page and optionally annotated with ...
Download / Learn more Package Citations See dependency  
processR  
Implementation of the "PROCESS" Macro
Perform moderation mediation moderated mediation and moderated moderation.Inspired from famous PROCE ...
Download / Learn more Package Citations See dependency  

28,720

R Packages

247,686

Dependencies

75,677

Author Associations

28,721

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA