compile  R Documentation 
Compile a conservation planning problem into an mixed integer linear programming problem.
compile(x, ...)
## S3 method for class 'ConservationProblem'
compile(x, compressed_formulation = NA, ...)
x 

... 
not used. 
compressed_formulation 

This function might be useful for those interested in understanding
how their conservation planning problem()
is expressed
as a mathematical problem. However, if the problem just needs to
be solved, then the solve()
function should just be used.
Please note that in nearly all cases, the default argument to
compressed_formulation
should be used. The only situation where
manually
setting the argument to formulation
is desirable is during testing.
Manually setting the argument to formulation
will at best
have no effect on the problem. At worst, it may result in
an error, a misspecified problem, or unnecessarily long
solve times.
A optimization_problem()
object.
## Not run:
# load data
sim_pu_raster < get_sim_pu_raster()
sim_features < get_sim_features()
# build minimal conservation problem
p <
problem(sim_pu_raster, sim_features) %>%
add_min_set_objective() %>%
add_relative_targets(0.1)
# compile the conservation problem into an optimization problem
o < compile(p)
# print the optimization problem
print(o)
## End(Not run)
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