Simulated data for prioritizing conservations projects.
data(sim_project_data) data(sim_action_data) data(sim_species_data) data(sim_tree)
tibble object.
tibble object.
tibble object.
phylo object.
The data set contains the following objects:
sim_project_dataA tibble 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.
"S1" ... "S5"numeric columns for each
species (i.e. "S1", "S2", "S3", "S4",
"S5", indicating the enhanced probability that each
species will survive if it funded.
"S1_action" ... "SN_action"logical
columns for each action, ranging from "S1_action" to
"SN_action" where N is
the number of actions (equal to the number of species in this
simulated data), indicating if an action is associated with a
project (TRUE) or not (FALSE).
sim_action_dataA tibble 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_species_dataA tibble containing
data for six simulated species. Each row corresponds to a
different species and each column contains information about the
species. This table contains the following columns:
"name"character name for each species.
"weight"numeric weight for each species.
phylo phylogenetic tree for the species.
# load data data(sim_project_data, sim_action_data, sim_species_data, sim_tree) # print project data print(sim_project_data)#> # A tibble: 6 x 13 #> name success S1 S2 S3 S4 S5 S1_action S2_action S3_action #> <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <lgl> <lgl> <lgl> #> 1 S1_p~ 0.919 0.791 0 0 0 0 TRUE FALSE FALSE #> 2 S2_p~ 0.923 0 0.888 0 0 0 FALSE TRUE FALSE #> 3 S3_p~ 0.829 0 0 0.502 0 0 FALSE FALSE TRUE #> 4 S4_p~ 0.848 0 0 0 0.690 0 FALSE FALSE FALSE #> 5 S5_p~ 0.814 0 0 0 0 0.617 FALSE FALSE FALSE #> 6 base~ 1 0.298 0.250 0.0865 0.249 0.182 FALSE FALSE FALSE #> # ... with 3 more variables: S4_action <lgl>, S5_action <lgl>, #> # baseline_action <lgl>#> # A tibble: 6 x 4 #> name cost locked_in locked_out #> <chr> <dbl> <lgl> <lgl> #> 1 S1_action 94.4 FALSE FALSE #> 2 S2_action 101. FALSE FALSE #> 3 S3_action 103. TRUE FALSE #> 4 S4_action 99.2 FALSE FALSE #> 5 S5_action 99.9 FALSE TRUE #> 6 baseline_action 0 FALSE FALSE#> # A tibble: 5 x 2 #> name weight #> <chr> <dbl> #> 1 S3 0.211 #> 2 S1 0.211 #> 3 S5 0.221 #> 4 S2 0.630 #> 5 S4 1.59#> #> Phylogenetic tree with 5 tips and 4 internal nodes. #> #> Tip labels: #> [1] "S3" "S1" "S5" "S2" "S4" #> #> Rooted; includes branch lengths.