add_action_sets         Register sets of management actions
add_actions             Add management actions to a planning problem
add_benefits            Add benefits
add_constraint_action_cardinality
                        Constrain the number of actions selected per
                        planning unit
add_constraint_action_excludes
                        Make actions mutually exclusive within each
                        planning unit
add_constraint_action_requires
                        Require companion actions in each planning unit
add_constraint_action_together
                        Select actions together within each planning
                        unit
add_constraint_area     Add area constraint
add_constraint_budget   Add budget constraint
add_constraint_locked_actions
                        Add locked action decisions to a planning
                        problem
add_constraint_locked_planning_units
                        Add locked planning units to a problem
add_constraint_locked_pu
                        Add locked planning units to a problem
add_constraint_targets_absolute
                        Add absolute targets
add_constraint_targets_relative
                        Add relative targets
add_effects             Add action effects to a planning problem
add_losses              Add losses
add_objective_max_benefit
                        Deprecated benefit objective
add_objective_max_effect
                        Add objective: maximize signed effect
add_objective_max_net_profit
                        Add objective: maximize net profit
add_objective_max_profit
                        Add objective: maximize profit
add_objective_min_cost
                        Add objective: minimize cost
add_objective_min_effect
                        Add objective: minimise signed effect
add_objective_min_fragmentation_action
                        Add objective: minimise action fragmentation
add_objective_min_fragmentation_planning_units
                        Add objective: minimise planning-unit
                        fragmentation
add_objective_min_fragmentation_pu
                        Add objective: minimize planning-unit
                        fragmentation
add_objective_min_intervention_impact
                        Add objective: minimize intervention impact
add_objective_min_loss
                        Deprecated objective: minimize loss
add_profit              Add profit to a planning problem
add_spatial_boundary    Add spatial boundary-length relations
add_spatial_distance    Add distance-threshold spatial relations
add_spatial_knn         Add k-nearest-neighbours spatial relations
add_spatial_queen       Add queen adjacency from polygons
add_spatial_relations   Add spatial relations
add_spatial_rook        Add rook adjacency from polygons
compile_model           Compile the optimization model stored in a
                        Problem
create_problem          Create a planning problem input object
frontier_distances      Compute distances to observed ideal or nadir
                        points
frontier_extremes       Find objective-wise extreme solutions
frontier_knee           Identify knee solutions on an observed Pareto
                        frontier
frontier_neighbors      Identify neighboring solutions in objective
                        space
get_action_sets         Inspect registered action sets
get_actions             Get action results from a solution set
get_features            Get feature summary from a solution set
get_objectives          Get objective values from a solution set
get_planning_units      Get planning-unit results from a solution set
get_pu                  Get planning-unit results from a solution set
get_runs                Get run-level metadata from a solution set
get_solution_states     Get planning-unit states from stored solutions
get_targets             Get target achievement summary from a solution
                        set
linkage_contrasts       Select informative solution contrasts
linkage_distances       Compare objective and decision distances
linkage_transition      Describe the transition between two solutions
linkage_turnover        Measure decision turnover along an
                        objective-space neighborhood
load_ecosystem_services
                        Load the ecosystem-services spatial example
load_meseta             Load the Meseta Iberica spatial action example
load_sim_features_raster
                        Example feature raster
load_sim_multiaction    Load the simulated spatial multi-action example
mo_control              Control multi-objective run behavior
plot_spatial_actions    Plot selected actions in space
plot_spatial_features   Plot spatial feature values from a solution set
plot_spatial_planning_units
                        Plot selected planning units in space
plot_spatial_pu         Plot selected planning units in space
plot_tradeoff           Plot trade-offs from a solution set
problem-class           Problem class
run_grid                Define an automatic multi-objective run grid
run_manual              Define a manual multi-objective run design
selection_consistency   Summarize consistency of planning-unit states
selection_frequency     Calculate selection frequency across solutions
selection_similarity    Calculate structural similarity among solutions
set_method_augmecon     Configure the augmented epsilon-constraint
                        method (AUGMECON)
set_method_epsilon_constraint
                        Configure the epsilon-constraint
                        multi-objective method
set_method_weighted_sum
                        Configure the weighted-sum multi-objective
                        method
set_runs_control        Control multi-objective run behavior
set_runs_grid           Define an automatic multi-objective run grid
set_runs_manual         Define a manual multi-objective run design
set_solver              Configure solver settings
set_solver_cbc          Configure CBC solver settings
set_solver_cplex        Configure CPLEX solver settings
set_solver_gurobi       Configure Gurobi solver settings
set_solver_symphony     Configure SYMPHONY solver settings
sim_dist_features       Simulated feature distribution
sim_features            Simulated features
sim_multiaction         Simulated spatial multi-action planning inputs
sim_pu                  Simulated planning units
sim_pu_sf               Simulated planning units
solution_append         Append solutions from another solution set
solution_filter         Filter solutions in a solution set
solution_unique         Keep unique solutions in a solution set
solutionset-class       SolutionSet class
solve                   Solve a planning problem
