set_min_restore_objective {restoptr}

Set an objective to minimize the amount restoration area.

Description

Specify that a restoration problem (restopt_problem()) should minimize the restoration area needed to reach the habitat proportion threshold specified in the problem description.

Usage

set_min_restore_objective(problem)

Arguments

problem

restopt_problem() Restoration problem object.

Details

The restoration area corresponds to the minimum amount of area that must be restored in the selected planning units to reach the minimum habitat proportion threshold specified in the problem description,

Value

An updated restoration problem (restopt_problem()) object.

See Also

Other objectives: set_max_iic_objective(), set_max_mesh_objective(), set_max_nb_pus_objective(), set_max_restore_objective(), set_min_nb_pus_objective(), set_no_objective()

Examples

# load data
habitat_data <- rast(
  system.file("extdata", "habitat_hi_res.tif", package = "restoptr")
)

locked_out_data <- rast(
 system.file("extdata", "locked_out.tif", package = "restoptr")
)

# plot data
plot(rast(list(habitat_data, locked_out_data)), nc = 2)

# create problem with locked out constraints
p <- restopt_problem(
    existing_habitat = habitat_data,
    aggregation_factor = 16,
    habitat_threshold = 0.7
  ) %>%
  set_min_restore_objective() %>%
  add_restorable_constraint(
    min_restore = 5,
    max_restore = 5,
  ) %>%
  add_locked_out_constraint(data = locked_out_data) %>%
  add_settings(time_limit = 1)

# print problem
print(p)

# solve problem
s <- solve(p)

# plot solution
plot(s)