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_data
A 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_data
A 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_data
A 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.