decisions | R Documentation |
Conservation planning problems involve making decisions on how different planning units will be managed. These decisions might involve turning an entire planning unit into a protected area, turning part of a planning unit into a protected area, or allocating a planning unit to a specific management zone. If no decision is explicitly added to a problem, then binary decisions will be used by default.
Only a single type of decision can be added to a conservation
planning problem()
. Note that if multiple decisions are added
to a problem, then the last one added will be used.
The following decisions can be added to a conservation planning
problem()
:
add_binary_decisions()
Add a binary decision to a
conservation planning problem
. This is the classic decision of
either prioritizing or not prioritizing a planning unit. Typically, this
decision has the assumed action of buying the planning unit to include
in a protected area network. If no decision is added to a problem object
then this decision class will be used by default.
add_proportion_decisions()
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
default of 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 network.
add_semicontinuous_decisions()
Add a semi-continuous
decision to a conservation planning problem
. This decision is
similar to add_proportion_decision
except that it has an upper
bound parameter. By default, the decision can range from prioritizing
none (0%) to all (100%) of a planning unit. However, a upper
bound can be specified to ensure that at most only a fraction
(e.g., 80%) of a planning unit can be preserved. This type of
decision may be useful when it is not practical to conserve the
entire area encompassed by any single planning unit.
Other overviews:
constraints
,
importance
,
objectives
,
penalties
,
portfolios
,
solvers
,
summaries
,
targets
## Not run:
# load data
sim_pu_raster <- get_sim_pu_raster()
sim_features <- get_sim_features()
# create basic problem and using the default decision types (binary)
p1 <-
problem(sim_pu_raster, sim_features) %>%
add_min_set_objective() %>%
add_relative_targets(0.1) %>%
add_default_solver(verbose = FALSE)
# create problem with manually specified binary decisions
p2 <- p1 %>% add_binary_decisions()
# create problem with proportion decisions
p3 <- p1 %>% add_proportion_decisions()
# create problem with semicontinuous decisions
p4 <- p1 %>% add_semicontinuous_decisions(upper_limit = 0.5)
# solve problem
s <- c(solve(p1), solve(p2), solve(p3), solve(p4))
names(s) <- c(
"default (binary)", "binary", "proportion", "semicontinuous (upper = 0.5)"
)
# plot solutions
plot(s)
## End(Not run)
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