cleanFun: GPS Data Cleaning

In khuggler/Ovis: Tools to Manipulate, Collate, and Analyze BHS Data from Idaho and Wyoming

GPS Data Cleaning

Description

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.

Usage

cleanFun(
  data,
  projectedproj,
  fixstat = "X2D.3D",
  hdopC = "HDOP",
  cval = 3,
  hval = 10,
  filename
)

Arguments

data	SpatialPointsDataFrame as outputed from GStar or Irid.
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.
spp	Character vector of species name (eg. 'Deer')

Value

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]

Examples

cleanFun(data, projectproj = "+proj=utm +zone=11 +ellps=GRS80 +datum=NAD83 +units=m +no_defs", filename='CleanRep',cval=3,hval=10)

khuggler/Ovis documentation built on Nov. 30, 2023, 7:41 p.m.