prioriactions (version 0.5.0)

simData: Simulated multi-action planning data

Description

Simulated data for making prioritizations.

sim_pu_data

Planning units are represented as tabular data.

sim_features_data

Features are represented as tabular data.

sim_dist_features_data

The simulated distribution of four features.

sim_threats_data

Threats are represented as tabular data.

sim_dist_threats_data

The simulated threats of two threats.

sim_sensitivity_data

Sensitivity of features to threats as tabular data.

sim_boundary_data

Boundary data between one hundred planning units.

Usage

data(sim_pu_data)
data(sim_features_data)
data(sim_dist_features_data)
data(sim_threats_data)
data(sim_dist_threats_data)
data(sim_sensitivity_data)
data(sim_boundary_data)

Format

sim_pu_data

data.frame object.

sim_features_data

data.frame object.

sim_dist_features_data

data.frame object.

sim_threats_data

data.frame object.

sim_dist_threats_data

data.frame object.

sim_sensitivity_data

data.frame object.

sim_boundary_data

data.frame object.

Examples

if (FALSE) {
# load data
data(sim_pu_data, sim_features_data, sim_dist_features_data,
sim_threats_data, sim_dist_threats_data, sim_sensitivity_data,
sim_boundary_data)

# plot examples
library(raster)
r <- raster::raster(ncol=10, nrow=10, xmn=0, xmx=10, ymn=0, ymx=10)

# plot cost of pu's
values(r) <- sim_pu_data$monitoring_cost
plot(r)

# plot feature distribution of feature 1
features <- tidyr::spread(data = sim_dist_features_data, key = feature, value = amount, fill = 0)
values(r) <- features$'1'
plot(r)
}