Simulated data

Simulated data for prioritizing conservation projects.

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"

character name for each project.

"success"

numeric probability of each project succeeding if it is funded.

"F1" ... "F5"

numeric columns for each feature (i.e. "F1", "F2", "F3", "F4", "F5", indicating the enhanced probability that each feature will survive if it funded. Missing values (NA) indicate that a feature does not benefit from a project being funded.

"F1_action" ... "F5_action"

logical columns for each action, ranging from "F1_action" to "F5_action" indicating if an action is associated with a project (TRUE) or not (FALSE).

"baseline_action"

logical column indicating if a project is associated with the baseline action (TRUE) or not (FALSE). This action is only associated with the baseline project.

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"

character name for each action.

"cost"

numeric cost for each action.

"locked_in"

logical indicating if certain actions should be locked into the solution.

"locked_out"

logical indicating if certain 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"

character name for each feature.

"weight"

numeric weight for each feature.

tree

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_ac…¹ F2_ac…² F3_ac…³
#>   <chr>        <dbl>  <dbl>  <dbl>   <dbl>  <dbl>  <dbl> <lgl>   <lgl>   <lgl>  
#> 1 F1_project   0.919  0.791 NA     NA      NA     NA     TRUE    FALSE   FALSE  
#> 2 F2_project   0.923 NA      0.888 NA      NA     NA     FALSE   TRUE    FALSE  
#> 3 F3_project   0.829 NA     NA      0.502  NA     NA     FALSE   FALSE   TRUE   
#> 4 F4_project   0.848 NA     NA     NA       0.690 NA     FALSE   FALSE   FALSE  
#> 5 F5_project   0.814 NA     NA     NA      NA      0.617 FALSE   FALSE   FALSE  
#> 6 baseline_…   1      0.298  0.250  0.0865  0.249  0.182 FALSE   FALSE   FALSE  
#> # … with 3 more variables: F4_action <lgl>, F5_action <lgl>,
#> #   baseline_action <lgl>, and abbreviated variable names ¹​F1_action,
#> #   ²​F2_action, ³​F3_action
# 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)