moveWindSpeed (version 0.2.4)

estimatePhi: 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,
  ...
)

Value

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

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

Examples

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