prioritizr: write_problem – R documentation

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write_problem

Write problem

Description

Save the mathematical formulation for a conservation planning problem() to a file for mixed integer programming solvers. Note that this function requires the Rsymphony package to be installed.

Usage

write_problem(x, path)

Arguments

`x`	`problem()` (i.e. `ConservationProblem`) object.
`path`	`character` file path to save the problem formulation. The argument should contain a `".lp"` or `.mps"` file extension to specify whether the problem formulation will be saved in the LP or MPS format (respectively).

Value

Invisible TRUE indicating success.

Examples

## Not run: 
# set seed for reproducibility
set.seed(500)

# load data
data(sim_pu_raster, sim_features, sim_pu_zones_stack, sim_features_zones)

# create minimal problem
p <- problem(sim_pu_raster, sim_features) %>%
      add_min_set_objective() %>%
      add_relative_targets(0.1) %>%
      add_binary_decisions()

# save problem to file (using the Rsymphony R package)
write_problem(p, "model.lp")

## End(Not run)

prioritizr

Systematic Conservation Prioritization in R

v7.0.1

GPL-3

Authors

Jeffrey O Hanson [aut] (<https://orcid.org/0000-0002-4716-6134>), Richard Schuster [aut, cre] (<https://orcid.org/0000-0003-3191-7869>), Nina Morrell [aut], Matthew Strimas-Mackey [aut] (<https://orcid.org/0000-0001-8929-7776>), Matthew E Watts [aut], Peter Arcese [aut] (<https://orcid.org/0000-0002-8097-482X>), Joseph Bennett [aut] (<https://orcid.org/0000-0002-3901-9513>), Hugh P Possingham [aut] (<https://orcid.org/0000-0001-7755-996X>)

Initial release