Multi-Action, Multi-Objective Spatial Planning

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Documentation for package ‘multiscape’ version 1.4.2

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

add_actions	Add management actions to a planning problem
add_action_sets	Register sets of management actions
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
compile_model.Problem	Compile the optimization model stored in a Problem
create_problem	Create a planning problem input object
create_problem-method	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_actions	Get action results from a solution set
get_action_sets	Inspect registered action sets
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	Problem class
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
SolutionSet	SolutionSet class
solutionset-class	SolutionSet class
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
solve	Solve a planning problem
solve.Problem	Solve a planning problem