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


The following methods are available for calculating irreplaceability scores:


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


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


# 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"))