raptr (version 0.0.3)

simulated_data: Simulated dataset for a conservation planning exercise

Description

This dataset contains all the data needed to generate prioritisations for three simulated species. This dataset contains planning units, species distribution maps, and demand points for each species. For the purposes of exploring the behaviour of the problem, demand points were generated using the centroids of planning units and the probability that they are occupied by the species. Note that methodology is not encouraged for real-world conservation planning. The species were simulated to represent different simplified versions of species distributions encountered:

• uniform: This species has an equal probability (0.5) of occurring in all planning units.

• normal: This species has a single range-core where it is most likely to be found. It is less likely to be found in areas further away from the centre of its range.

• bimodal: This species has two distinct ecotypes. Each ecotype has its own range cores and range marginal areas.

Usage

sim_ru
sim_rs

Format

SpatialPolyognsDataFrame, RasterStack, list of DemandPoint objects.

Details

The objects contained in this dataset are:

• sim_ru: A RapUnsolved object with all the simulated data.

• sim_rs: A RapSolved object with 5 near-optimal solutions.

Examples

# NOT RUN {
# load data
data(sim_ru, sim_rs)
# plot species distributions
spp.plot(sim_ru, 1)
spp.plot(sim_ru, 2)
spp.plot(sim_ru, 3)
# plot selection frequencies
plot(sim_rs)
# plot best solution
plot(sim_rs, 0)
# }