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.
interp_track(track, tint = 0.25)
A dataframe with hurricane track data for a single storm. See
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).
A dataframe with hurricane track data for a single storm,
interpolated to the interval specified by
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