cleanFun: GPS Data Cleaning
In mhayes1/UPart: Ungulate Parturition Modeling and Predicting

Description Usage Arguments Value Examples

Cleans output from GStar or Irid. Cleaning is user-defined and based on either hdop or 2d/3d fix status. Outputs three results in list format: Cleaned Data, "Bad" data and a report. Data is also cleaned if the 'dist' (from as.ltraj) is greater than the 98 percentile.

1 2	cleanFun(data, fixstat = "X2D.3D", hdopC = "HDOP", cval = 3, hval = 10, filename, type = "irid", spp = "Elk")

`data`	SpatialPointsDataFrame as outputed from GStar or Irid. May work with others that are in UTM 12N.
`fixstat`	name of 2d/3d fix column. Defaults to 'X2D.3D'
`hdopC`	name of HDOP column. Defaults to 'HDOP'
`cval`	Cutoff for 2d/3d fix status. Valid values are 2 or 3. 3 will only use 3d fixes while 2 uses 2 and 3.
`hval`	Cutoff for hdop quantile cutoff. Default is 10 which is equalt to 90th quantile.
`filename`	Full path to store cleaning report file.
`type`	Character vector of data type, either: 'gstar' or 'irid'
`spp`	Character vector of species name (eg. 'Deer')

Resulting object is a list of three elements. First element is a SpatialPointsDataFrame of all the GPS data which met the cleaning critera, the second element is all the "bad" data cleaned by set parameters and a report of what data was cleaned and for what reason.

Accessing the "good" spatial data is done by cleanFun()[[1]] Accessing the "bad" spatial data is done by cleanFun()[[1]] Accessing the cleaning report is done by cleanFun()[[1]]