This function returns a list with the four morphological information necessary to construct the power curve: mass, wing span, wing aspect ratio, and body frontal area.
When any of these variables are missing, we query the AVONET database using the scientific name from the Clements Checklist.
Usage
bird_create(
species_name,
mass = NULL,
wing_span = NULL,
wing_aspect = NULL,
wing_area = NULL,
body_frontal_area = NULL
)
Arguments
- species_name
Scientific name of the species
- mass
Mass of the bird in kilograms.
- wing_span
Wing span in meters.
- wing_aspect
Wing aspect ratio (no unit).
- wing_area
Wing area in meter square.
- body_frontal_area
Body frontal area in meter square.
See also
Other bird:
print.bird()
Other movement:
graph_add_wind()
,
graph_set_movement()
,
graph_transition()
,
plot_graph_movement()
,
speed2prob()
,
tag_download_wind()
Examples
# Using AVONET dataset
bird_create("Acrocephalus arundinaceus")
#>
#> ── GeoPressureR `bird` object ──────────────────────────────────────────────────
#> • Species: Acrocephalus arundinaceus
#> • Mass: 0.03 (kg).
#> • Body frontal area: 0 (m^2).
#> • Wing span: 0.2 (m).
#> • Wing aspect: 7.1 (-).
# Using AVONET dataset + custom values
bird_create("Acrocephalus arundinaceus", wing_aspect = 8)
#>
#> ── GeoPressureR `bird` object ──────────────────────────────────────────────────
#> • Species: Acrocephalus arundinaceus
#> • Mass: 0.03 (kg).
#> • Body frontal area: 0 (m^2).
#> • Wing span: 0.2 (m).
#> • Wing aspect: 8 (-).
# Import your own bird. You will need mass, and at least two of wing_span,
# wing_aspect or wing_area.
bird_create("custum_bird", mass = 1, wing_span = 1, wing_aspect = 4)
#>
#> ── GeoPressureR `bird` object ──────────────────────────────────────────────────
#> • Species: custum_bird
#> • Mass: 1 (kg).
#> • Body frontal area: 0 (m^2).
#> • Wing span: 1 (m).
#> • Wing aspect: 4 (-).