calcBins: Generates indices for moving window bins
In qureshlatif/WoodpeckerHSI: Woodpecker habitat suitability models
Description
Usage
Arguments
Details
Value
Author(s)
References
Description
Utility function that generates a set of indices for moving window bins targeting an implied dataset of sample size 'n' to support plotting HSI relationships with nest densities and calculating RSF plot index (RPI).
Usage
1
calcBins(unit.size, n, bin.width)
Arguments
unit.size
Numeric scalar - the number of observations to include in a unit
n
Numeric scalar - the total number of observations in the target sample
bin.width
Numeric scalar - the number of units to include in each moving window bin
Details
This is a utility function that supports various other functions in the WoodpeckerHSI package that relate HSIs with observed nest densities and calculate associated metrics of predictive performance or GOF, i.e., RPI (Wiens et al. 2008).
Value
unitID
Integer vector indicating the unit assignment of each observation; length = n
st
Integer vector indicating the lowest-value unitID to include in each bin; length = bin.width
end
Integer vector indicating the highest-value unitID to include in each bin; length = bin.width
Author(s)
Quresh S. Latif, Rocky Mountain Research Station, U.S. Forest Service
References
Wiens, T. S., B. C. Dale, M. S. Boyce, and G. P. Kershaw. 2008. Three way k-fold cross-validation of resource selection functions. Ecological Modelling 212:244-255.
qureshlatif/WoodpeckerHSI documentation built on May 29, 2019, 7:51 a.m.
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Description Usage Arguments Details Value Author(s) References
Description
Utility function that generates a set of indices for moving window bins targeting an implied dataset of sample size 'n' to support plotting HSI relationships with nest densities and calculating RSF plot index (RPI).
Usage
1 | calcBins(unit.size, n, bin.width)
|
Arguments
unit.size |
Numeric scalar - the number of observations to include in a unit |
n |
Numeric scalar - the total number of observations in the target sample |
bin.width |
Numeric scalar - the number of units to include in each moving window bin |
Details
This is a utility function that supports various other functions in the WoodpeckerHSI package that relate HSIs with observed nest densities and calculate associated metrics of predictive performance or GOF, i.e., RPI (Wiens et al. 2008).
Value
unitID |
Integer vector indicating the unit assignment of each observation; length = n |
st |
Integer vector indicating the lowest-value unitID to include in each bin; length = bin.width |
end |
Integer vector indicating the highest-value unitID to include in each bin; length = bin.width |
Author(s)
Quresh S. Latif, Rocky Mountain Research Station, U.S. Forest Service
References
Wiens, T. S., B. C. Dale, M. S. Boyce, and G. P. Kershaw. 2008. Three way k-fold cross-validation of resource selection functions. Ecological Modelling 212:244-255.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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