This function takes a wider-spaced storm track (e.g., every 6 hours) and
interpolates to a finer interval (e.g., every 15 minutes). To do this, it
fits GLMs of latitude and longitude regressed on natural cubic splines of
date-time, and then predicts these splines to new intervals. These
splines use degrees of freedom equal to the number of original observations
divided by two.
Usage
interp_track(track, tint = 0.25)
Arguments
track
A dataframe with hurricane track data for a single storm
tint
A numeric vector giving the time interval to impute to, in units
of hours (e.g., 0.25, the default, interpolates to 15 minute-intervals).
Value
A dataframe with hurricane track data for a single storm,
interpolated to the interval specified by tint.