A shiny app for correcting previously estimated 95% home range areas derived from conventional estimators for body-mass specific bias.
The correction is based on the regressional analyses in Noonan et al. (2019) Body size dependent underestimation of home range areas. In prep.
This correction is not a substitute for using a more rigorous home range estimator (e.g. autocorrelated-KDE), and should only be used for cases where the underlying tracking data are not accessible.
The app can be used online at:
https://hrcorrect.shinyapps.io/HRcorrect/
Or locally, via an R installation. To install and run the app run the following lines in R:
# Get list of the currently installed packages
avail <- installed.packages()[, 1]
# Make a list of the required packages
needed <- c("shiny", "shinydashboard", "devtools")
# Check which of these are missing
install <- needed[!needed %in% avail]
# And then install them if necessary
if (length(install) > 0) {
install.packages(install)
}
# After installing the dependencies,
# install HRcorrect from the github repository
devtools::install_github(repo = "NoonanM/HRcorrect")
# Finally, run the application
correct()
Notes:
The area correction is unit invariant, and will preserve whatever units the original area are provided in.
Mass must be provided in kilograms.
Upon installation, the HR_Correction() function is exported into the namespace and can be used directly in the command line interface.