BGBFun: BiVariate Gaussian Bridge Stats

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

BiVariate Gaussian Bridge Stats

Description

Create BiVariate Gaussian Bridge Stats using the move package. Specifically creates parallel and orthogonal variance measures in format to append to data.frame of movement data. This can be a lengthy process and therefore, this code is internally parallelized. You must give an ncpus > 1 to run in parallel.

Usage

BGBFun(
  data,
  xname,
  yname,
  timename,
  idname,
  projstring,
  ncpus,
  msize = 21,
  winsize = 43
)

Arguments

data	GPS data either as data.frame
xname	name of X coordinate column
yname	name of Y coordinate column
timename	name of POSIX time/date column
idname	name of unique identifier for each animal column
projstring	Correct proj4string for the data/coordinates
ncpus	Number of CPUs for parallel processing. Recommend 1-2 less than max.
msize	Margin size for dynBGB. Defaults to 21.
winsize	Window size for dynBGB. Defaults to 43.

Value

Resulting object is a data.frame of original data with dynBGB parameters added as columns. See Kraunstauber 2015 for more info.

paraSd	Parallel Variance Measure
orthSd	orthogonal variance measure

Examples

BGBFun(data=df, xname='Easting',yname='Northing',timename='TelemDate',idname='Serial',
projstring='+proj=longlat +datum=WGS84 +no_defs',ncpus=6,msize=21,winsize=43)

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