estimatePhi: estimatePhi

In moveWindSpeed: Estimate Wind Speeds from Bird Trajectories

estimatePhi

Description

An function to estimate phi (the autocorrelation of speed) from data. This is done using iterative calls to the wind speed optimization on a selection of segments.

Usage

estimatePhi(
  data,
  isThermallingFunction = getDefaultIsThermallingFunction(360, 4),
  maxPointsToUseInEstimate = 20,
  phiInitialEstimate = 0,
  isGoodPoint = NULL,
  returnPointsUsedInEstimate = F,
  windowSize = 29,
  ...
)

Arguments

data	An move object or stack.
isThermallingFunction	The thermalling function to use.
maxPointsToUseInEstimate	Maximal number of desired windows for phi estimation
phiInitialEstimate	Initial phi estimate
isGoodPoint	The points to use for phi estimation as logical or numeric, if NULL then findGoodPoints is used.
returnPointsUsedInEstimate	an logical value, if the segments used for phi estimation should also be returned.
windowSize	An window size, odd number or the start and end of the window relative to the focal point
...	extra arguments for getWindSpeedEstimates

Value

a list with phi and the log likelihood and the number of locations used

Examples

data(storks)
estimatePhi(
  storks[[2]],
  windowSize = 19,
  isSamplingRegular = 1,
  isThermallingFunction = getDefaultIsThermallingFunction(360, 4),
  maxPointsToUseInEstimate = 10
)

moveWindSpeed documentation built on June 7, 2023, 6:08 p.m.