Package index • multiscape

Build and solve problems

Core workflow to create a planning problem, configure it, and solve it.

Define feasible actions, their effects and optional profits.

Define target requirements and area-related constraints.

add_constraint_targets_absolute(): Add absolute targets
add_constraint_targets_relative(): Add relative targets
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_pu(): Add locked planning units to a problem

Register boundary and graph-based spatial relations from tables, polygons, or coordinates.

Register objectives that can be solved individually or combined in multi-objective workflows.

add_objective_min_cost(): Add objective: minimize cost
add_objective_max_benefit(): Add objective: maximize benefit
add_objective_min_loss(): Add objective: minimize loss
add_objective_max_profit(): Add objective: maximize profit
add_objective_max_net_profit(): Add objective: maximize net profit
add_objective_min_fragmentation_pu(): Add objective: minimize fragmentation
add_objective_min_fragmentation_action(): Add objective: minimize action fragmentation
add_objective_min_intervention_impact(): Add objective: minimize intervention impact

Configure weighted-sum, epsilon-constraint, and AUGMECON workflows.

set_method_weighted_sum(): Set the weighted-sum multi-objective method
set_method_epsilon_constraint(): Set the epsilon-constraint multi-objective method
set_method_augmecon(): Set the AUGMECON multi-objective method

Store solver and runtime options before calling solve().

Extract user-facing summaries and raw solution vectors.

Visualize spatial outputs and multi-objective trade-offs.

Core classes used across the package.

Simulated datasets distributed with the package.