Simulated conservation planning data
Simulated data for making spatial prioritizations.
data(sim_pu_polygons) data(sim_pu_zones_polygons) data(sim_pu_points) data(sim_pu_lines) data(sim_pu_sf) data(sim_pu_zones_sf) data(sim_pu_raster) data(sim_locked_in_raster) data(sim_locked_out_raster) data(sim_pu_zones_stack) data(sim_features) data(sim_features_zones) data(sim_phylogeny)
SpatialPolygonsDataFrame
object.
SpatialPolygonsDataFrame object.
sf::sf() object.
sf::sf() object.
SpatialLinesDataFrame object.
SpatialPointsDataFrame
object.
RasterLayer object.
RasterStack object.
RasterLayer
object.
RasterLayer
object.
RasterStack object.
ZonesRaster() object.
ape::phylo() object.
sim_pu_rasterPlanning 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_stackPlanning 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_rasterPlanning 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_rasterPlanning units are represented as raster data. Pixel values are binary and indicate if planning units should be locked out from the solution.
sim_pu_polygonsPlanning 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_pointsPlanning units represented as point data.
The attribute table follows the same conventions as for
sim_pu_polygons.
sim_pu_linesPlanning units represented as line data.
The attribute table follows the same conventions as for
sim_pu_polygons.
sim_pu_sfPlanning units represented as polygon data
using the sf::sf() package.
The attribute table follows the same conventions as for
sim_pu_polygons.
sim_pu_zones_polygonsPlanning 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_pu_zones_sfPlanning units represented as polygon data
using the sf::sf() package. The attribute tables follows
the same conventions as for sim_pu_zone_polygons.
sim_featuresThe simulated distribution of ten species. Pixel values indicate habitat suitability.
sim_features_zonesThe simulated distribution for five species under three different management zones.
sim_phylogenyThe phylogenetic tree for the ten species.
# 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, sim_pu_sf)
# plot example Spatial-class planning unit data
## Not run:
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 sf-class planning unit data
plot(sim_pu_sf)
# 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 for each management zone
plot(do.call(stack, sim_features_zones),
main = paste0("Species ",
rep(seq_len(number_of_zones(sim_features_zones)),
number_of_features(sim_features_zones)),
" (zone ",
rep(seq_len(number_of_features(sim_features_zones)),
each = number_of_zones(sim_features_zones)),
")"))
## End(Not run)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.