Simulated data for making spatial prioritizations.

data(sim_pu_polygons)

sim_features

sim_features_zones

sim_pu_polygons

sim_pu_zones_polygons

sim_pu_zones_polygons

sim_pu_lines

sim_pu_points

sim_pu_raster

sim_pu_zones_stack

sim_phylogeny

sim_locked_in_raster

sim_locked_out_raster

Format

sim_pu_polygons

SpatialPolygonsDataFrame-class object.

sim_pu_zones_polygons

SpatialPolygonsDataFrame-class object.

sim_pu_lines

SpatialLinesDataFrame-class object.

sim_pu_points

SpatialPointsDataFrame-class object.

sim_pu_raster

RasterLayer-class object.

sim_pu_zones_stack

RasterStack-class object.

sim_locked_in_raster

RasterLayer-class object.

sim_locked_out_raster

RasterLayer-class object.

sim_features

RasterStack-class object.

sim_features_zones

ZonesRaster object.

sim_phylogeny

phylo object.

Details

sim_pu_raster

Planning units are represented as raster data. Pixel values indicate planning unit cost and NA values indicate that a pixel is not a planning unit.

sim_pu_zones_stack

Planning units are represented as raster stack data. Each layer indicates the cost for a different management zone. Pixels with NA values in a given zone indicate that a planning unit cannot be allocated to that zone in a solution. Additionally, pixels with NA values in all layers are not a planning unit.

sim_locked_in_raster

Planning units are represented as raster data. Pixel values are binary and indicate if planning units should be locked in to the solution.

sim_locked_out_raster

Planning units are represented as raster data. Pixel values are binary and indicate if planning units should be locked out from the solution.

sim_pu_polygons

Planning units represented as polygon data. The attribute table contains fields (columns) indicating the expenditure required for prioritizing each planning unit ("cost" field), if the planning units should be selected in the solution ("locked_in" field), and if the planning units should never be selected in the solution ("locked_out" field).

sim_pu_points

Planning units represented as point data. The attribute table follows the same conventions as for sim_pu_polygons.

sim_pu_lines

Planning units represented as line data. The attribute table follows the same conventions as for sim_pu_polygons.

sim_pu_zone_polygons

Planning units represented as polygon data. The attribute table contains fields (columns) indicating the expenditure required for prioritizing each planning unit under different management zones ("cost_1", "cost_2", and "cost_3" fields), and a series of fields indicating the value that each planning unit that should be assigned in the solution ("locked_1", "locked_2", "locked_3" fields). In these locked fields, planning units that should not be locked to a specific value are assigned a NA value.

sim_features

The simulated distribution of ten species. Pixel values indicate habitat suitability.

sim_features_zones

The simulated distribution for five species under three different management zones.

sim_phylogeny

The phylogenetic tree for the ten species.

Examples

# load data data(sim_pu_polygons, sim_pu_lines, sim_pu_points, sim_pu_raster, sim_locked_in_raster, sim_locked_out_raster, sim_phylogeny, sim_features) # plot example planning unit data par(mfrow = c(2, 3)) plot(sim_pu_raster, main = "planning units (raster)") plot(sim_locked_in_raster, main = "locked in units (raster)") plot(sim_locked_out_raster, main = "locked out units (raster)") plot(sim_pu_polygons, main = "planning units (polygons)") plot(sim_pu_lines, main = "planning units (lines)") plot(sim_pu_points, main = "planning units (points)")
# plot example phylogeny data par(mfrow = c(1, 1)) ape::plot.phylo(sim_phylogeny, main = "simulated phylogeny")
# plot example feature data par(mfrow = c(1, 1)) plot(sim_features)
# plot example management zone cost data par(mfrow = c(1, 1)) plot(sim_pu_zones_stack)
# plot example feature data under different zones par(mfrow = c(5, 3)) for (i in length(sim_features_zones)) for (j in raster::nlayers(sim_features_zones[[i]])) plot(sim_features_zones[[i]][[j]], main = paste0("Species ", i, "(zone ", j ))