Function to filter temporal duplicates that are associated with the same quality index.
dupfilter_time(sdata, step.time = 0)
A data frame containing columns with the following headers: "id", "DateTime", "lat", "lon", "qi".
See the data
Consecutive locations less than or equal to step.time apart are considered temporal duplicates. Default is 0 hours.
This is a partial component of
dupfilter, although works as a stand-alone function.
First it identifies temporal duplicates by searching for consecutive locations that were obtained within step.time.
For each group of temporal duplicates, the function then retains a single fix that is nearest from a previous and to a subsequent location.
The input data frame is returned with temporal duplicates removed. The following columns are added: "pTime", "sTime", "pDist", "sDist". "pTime" and "sTime" are hours from a previous and to a subsequent fix respectively. "pDist" and "sDist" are straight distances in kilometres from a previous and to a subsequent fix respectively.
Shimada T, Limpus C, Jones R, Hazel J, Groom R, Hamann M (2016) Sea turtles return home after intentional displacement from coastal foraging areas. Marine Biology 163:1-14 doi: 10.1007/s00227-015-2771-0
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