Irreplaceability scores can be used to assess the relative importance of planning units in a solution to a conservation planning problem.

Details

The following methods are available for calculating irreplaceability scores:

replacement_cost

Calculate irreplaceability scores using the replacement cost method. This method is generally recommended for calculating irreplaceability scores.

rarity_weighted_richness

Calculate irreplaceability scores using rarity weighted richness. This method is only recommended for particularly large-scale conservation planning problems where the replacement cost method would take too long to produce scores in a feasible period of time.

See also

Examples

# load data data(sim_pu_raster, sim_pu_polygons, sim_features) # build minimal conservation problem with raster data p1 <- problem(sim_pu_raster, sim_features) %>% add_min_set_objective() %>% add_relative_targets(0.1) %>% add_binary_decisions() %>% add_default_solver(gap = 0, verbose = FALSE) # solve the problem
s1 <- solve(p1)
# plot solution
plot(s1, main = "solution", axes = FALSE, box = FALSE)
# calculate irreplaceability scores using replacement cost scores
rc1 <- replacement_cost(p1, s1)
# calculate irreplaceability scores using rarity weighted richness scores
# plot irreplaceability scores
plot(stack(rc1, rc2), axes = FALSE, box = FALSE, main = c("replacement cost", "rarity weighted richness"))