Simulated data — sim

Simulated data for prioritizing conservation projects based on a single objective.

Usage

data(sim_actions)

data(sim_projects)

data(sim_features)

data(sim_tree)

Format

sim_projects: tibble::tibble() object.
sim_actions: tibble::tibble() object.
sim_features: tibble::tibble() object.
sim_tree: ape::phylo() object.

Details

The data set contains the following objects:

sim_projects

A tibble::tibble() object containing data for six simulated conservation projects. Each row corresponds to a different project and each column contains information about the projects. This table contains the following columns.

"name": This column contains the character name for each project.
"success": This column contains numeric values that denote probability of each project being successfully completed if it is funded.
"F1" ... "F5": These columns (i.e., "F1", "F2", "F3", "F4", "F5") contain numeric values that indicate the probability that each feature will persist if the project is successfully completed. Missing values (NA) indicate that a feature does not benefit from a project being funded.
"F1_action" ... "F5_action": These columns (i.e., "F1_action", "F2_action", "F3_action", "F4_action", "F5_action") contain logical (TRUE/FALSE) values that indicate if each action is associated with each project or not.
"baseline_action": This column contains logical values indicating if each project is the baseline project or not.

sim_actions

A tibble::tibble() object containing data for six simulated actions. Each row corresponds to a different action and each column contains information about the actions. This table contains the following columns.

"name": This column contains the character name for each action.
"cost": This column contains numeric values denoting the cost for each action.
"locked_in": This column contains logical values indicating if particular actions should be locked into the solution.
"locked_out": This column contains logical values indicating if particular actions should be locked out of the solution.

sim_features

A tibble::tibble() object containing data for five simulated features. Each row corresponds to a different feature and each column contains information about the features. This table contains the following columns.

"name": This column contains the character name for each feature.
"weight": This column contains numeric values denoting the weight for each feature.

tree

A ape::phylo() phylogenetic tree for the features.

Examples

# load data
data(sim_projects, sim_actions, sim_features, sim_tree)

# print project data
print(sim_projects)
#> # A tibble: 6 × 13
#>   name           success     F1     F2      F3     F4     F5 F1_action F2_action
#>   <chr>            <dbl>  <dbl>  <dbl>   <dbl>  <dbl>  <dbl> <lgl>     <lgl>    
#> 1 F1_project       0.919  0.791 NA     NA      NA     NA     TRUE      FALSE    
#> 2 F2_project       0.923 NA      0.888 NA      NA     NA     FALSE     TRUE     
#> 3 F3_project       0.829 NA     NA      0.502  NA     NA     FALSE     FALSE    
#> 4 F4_project       0.848 NA     NA     NA       0.690 NA     FALSE     FALSE    
#> 5 F5_project       0.814 NA     NA     NA      NA      0.617 FALSE     FALSE    
#> 6 baseline_proj…   1      0.298  0.250  0.0865  0.249  0.182 FALSE     FALSE    
#> # ℹ 4 more variables: F3_action <lgl>, F4_action <lgl>, F5_action <lgl>,
#> #   baseline_action <lgl>

# print action data
print(sim_actions)
#> # A tibble: 6 × 4
#>   name             cost locked_in locked_out
#>   <chr>           <dbl> <lgl>     <lgl>     
#> 1 F1_action        94.4 FALSE     FALSE     
#> 2 F2_action       101.  FALSE     FALSE     
#> 3 F3_action       103.  TRUE      FALSE     
#> 4 F4_action        99.2 FALSE     FALSE     
#> 5 F5_action        99.9 FALSE     TRUE      
#> 6 baseline_action   0   FALSE     FALSE     

# print feature data
print(sim_features)
#> # A tibble: 5 × 2
#>   name  weight
#>   <chr>  <dbl>
#> 1 F1     0.211
#> 2 F2     0.211
#> 3 F3     0.221
#> 4 F4     0.630
#> 5 F5     1.59 

# plot phylogenetic tree
plot(sim_tree)