add_proportion_decisions: Add proportion decisions

In prioritizr: Systematic Conservation Prioritization in R

Add proportion decisions

Description

Add a proportion decision to a conservation planning problem. This is a relaxed decision where a part of a planning unit can be prioritized, as opposed to the entire planning unit. Typically, this decision has the assumed action of buying a fraction of a planning unit to include in a protected area system. In most cases, problems that use proportion-type decisions will solve much faster than problems that use binary-type decisions.

Usage

add_proportion_decisions(x)

Arguments

x	problem() object.

Details

Conservation planning problems involve making decisions on planning units. These decisions are then associated with actions (e.g., turning a planning unit into a protected area). Only a single decision should be added to a problem() object. Note that if multiple decisions are added to an object, then the last one to be added will be used during optimization. Also, if no decision is added to a problem(), then this decision will be used by default.

Value

An updated problem() object with the decisions added to it.

See Also

Other decisions: add_binary_decisions(), add_semicontinuous_decisions()

Examples

# set seed for reproducibility
set.seed(500)

# load data
sim_pu_raster <- get_sim_pu_raster()
sim_features <- get_sim_features()
sim_zones_pu_raster <- get_sim_zones_pu_raster()
sim_zones_features <- get_sim_zones_features()

# create minimal problem with proportion decisions
p1 <-
  problem(sim_pu_raster, sim_features) %>%
  add_min_set_objective() %>%
  add_relative_targets(0.1) %>%
  add_proportion_decisions() %>%
  add_default_solver(verbose = FALSE)

# solve problem
s1 <- solve(p1)

# plot solutions
plot(s1, main = "solution", axes = FALSE)

# build multi-zone conservation problem with proportion decisions
p2 <-
  problem(sim_zones_pu_raster, sim_zones_features) %>%
  add_min_set_objective() %>%
  add_relative_targets(matrix(runif(15, 0.1, 0.2), nrow = 5, ncol = 3)) %>%
  add_proportion_decisions() %>%
  add_default_solver(verbose = FALSE)

# solve the problem
s2 <- solve(p2)

# print solution
print(s2)

# plot solution
# panels show the proportion of each planning unit allocated to each zone
plot(s2, axes = FALSE)

prioritizr documentation built on Sept. 24, 2026, 5:07 p.m.