hallingstad: Data sets from Hallingstad et al. 2018
In windAC: Area Correction Methods
hallingstad R Documentation
Data sets from Hallingstad et al. 2018
Description
List containing two data frames from Hallingstad et al. 2018
Usage
data(hallingstad)
Format
The carcass element is a data frame with 26 rows and 3 variables:
- study
The name of the study for that wind farm.
- species
The species of the carcass found.
- distanceFromTurbine
The distance (meters) from the turbine of the location of the found carcass.
The weight element is a data frame with 2414 rows and 7 variables:
- study
The name of the study for that wind farm.
- distanceFromTurbine
The distance (meters) from the turbine for the outer radius of a one meter ring or annulus.
- detectionProbability
The probability of detection, incorporating search efficiency and carcass persistence, for a given study and distance from turbine.
- proportionAreaSearch
The proportion of area searched within the ring (annulus).
- scaledNumberTurbine
The number of turbines at a study divided by the total number of turbines for all studies considered, does not change with distance from turbine.
- scaledFatalityRate
The fatality rate at a study divided by the sum of the fatality rates across all studies considered, does not change with distance from turbine.
- finalWeight
The product of
detectionProbability*proportionAreaSearched*scaledNumberTurbine*scaledFatalityRate.
Details
A list of data frames, with two elements named carcass and weight.
References
Hallingstad EC, Rabie PA, Telander AC, Roppe JA, Nagy LR (2018) Developing an efficient protocol for monitoring eagle fatalities at wind energy facilities. PLoS ONE 13(12): e0208700. https://doi.org/10.1371/journal.pone.0208700
windAC documentation built on March 31, 2023, 9:30 p.m.
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| hallingstad | R Documentation |
Data sets from Hallingstad et al. 2018
Description
List containing two data frames from Hallingstad et al. 2018
Usage
data(hallingstad)
Format
The carcass element is a data frame with 26 rows and 3 variables:
- study
The name of the study for that wind farm.
- species
The species of the carcass found.
- distanceFromTurbine
The distance (meters) from the turbine of the location of the found carcass.
The weight element is a data frame with 2414 rows and 7 variables:
- study
The name of the study for that wind farm.
- distanceFromTurbine
The distance (meters) from the turbine for the outer radius of a one meter ring or annulus.
- detectionProbability
The probability of detection, incorporating search efficiency and carcass persistence, for a given study and distance from turbine.
- proportionAreaSearch
The proportion of area searched within the ring (annulus).
- scaledNumberTurbine
The number of turbines at a study divided by the total number of turbines for all studies considered, does not change with distance from turbine.
- scaledFatalityRate
The fatality rate at a study divided by the sum of the fatality rates across all studies considered, does not change with distance from turbine.
- finalWeight
The product of
detectionProbability*proportionAreaSearched*scaledNumberTurbine*scaledFatalityRate.
Details
A list of data frames, with two elements named carcass and weight.
References
Hallingstad EC, Rabie PA, Telander AC, Roppe JA, Nagy LR (2018) Developing an efficient protocol for monitoring eagle fatalities at wind energy facilities. PLoS ONE 13(12): e0208700. https://doi.org/10.1371/journal.pone.0208700
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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