Identify SSM predicted & rerouted (if present) location estimates in data gaps

Source: R/ssm_mark_gaps.R

Identify & mark SSM predicted & rerouted (if present) location estimates in track segments with data gaps of a specified minimum duration.

ssm_mark_gaps(ssm, min.gap = 24, mark = TRUE)

Arguments

ssm

the SSM fit object from redo_multi_filter()

min.gap

the minimum data gap duration from which SSM estimates are removed (in hours)

mark

logical; should the SSM data be marked (TRUE; default), otherwise the function does no marking and returns the original SSM fit object