strip: Strip Argos track data of unwanted records
In ianjonsen/slootr: Tools for manipulating Argos tracking data

Description Usage Arguments Value Author(s)

View source: R/strip.r

Strip does the following: 1) removes duplicated date records; 2) removes start locations in N Hemisphere, eg. Seattle, BAS, SMRU (will be generalised later); 3) removes deployments with less than min.obs records; 4) removes deployments that last less than min.days; 5) removes records with NA lat and/or lon; 6) removes Z-class locations. Each of these steps can be optionally turned off via the what logical vector.

1	strip(d, what = rep(TRUE, 6), min_obs = 30, min_days = 10)

`d`	A data.frame containing the following columns: "id", "date", "lc", "lon", "lat". "id" is a unique identifier for the tracking dataset. "date" is the GMT date-time of each observation with the following format "2001-11-13 07:59:59". "lc" is the Argos location quality class of each observation, values in ascending order of quality are "Z", "B", "A", "0", "1", "2", "3". "lon" is the observed longitude in decimal degrees. "lat" is the observed latitude in decimal degress.
`what`	A logical vecotr of length 6 that turns on or off each of the 6 data stripping steps.
`min_obs`	The minimum number of observations an individual track requires to be retained.
`min_days`	The minimum number of deployment days an individual tracks requires to be retained.
`na_value`	Define NA in input data if a numeric (eg. 999) is used.