eRTG3D (version 0.7.0)

get.densities.3d: Extract tldCube and autodifference approximation functions

Description

Creates a list consisting of the three dimensional probability distribution cube for turning angle, lift angle and step length (turnLiftStepHist) as well as the uni-dimensional distributions of the differences of the turn angles, lift angles and step lengths with a lag of 1 to maintain minimal level of autocorrelation in each of the terms. Additionally also the distribution of the flight height over the ellipsoid (absolute) and the distribution of flight height over the topography (relative) can be included.

Usage

get.densities.3d(
  turnAngle,
  liftAngle,
  stepLength,
  deltaLift,
  deltaTurn,
  deltaStep,
  gradientAngle = NULL,
  heightEllipsoid = NULL,
  heightTopo = NULL,
  maxBin = 25
)

Arguments

turnAngle

turn angles of the track (t)

liftAngle

lift angles of the track (l)

stepLength

stepLength of the track (d)

deltaLift

auto differences of the turn angles (diff(t))

deltaTurn

auto differences of the lift angles (diff(l))

deltaStep

auto differences of the step length (diff(d))

gradientAngle

NULL or the gardient angles of the track

heightEllipsoid

flight height over the ellipsoid (absolute) or NULL to exclude this distribution

heightTopo

flight height over the topography (relative) or NULL to exclude this distribution

maxBin

numeric scalar, maximum number of bins per dimension of the tld-cube (turnLiftStepHist)

Value

A list containing the tldCube and the autodifferences functions (and additionally the flight height distribution functions)

Examples

# NOT RUN {
niclas <- track.properties.3d(niclas)[2:nrow(niclas), ]
P <- get.densities.3d(
  turnAngle = niclas$t, liftAngle = niclas$l, stepLength = niclas$d,
  deltaLift = diff(niclas$t), deltaTurn = diff(niclas$l), deltaStep = diff(niclas$d),
  gradientAngle = NULL, heightEllipsoid = NULL, heightTopo = NULL, maxBin = 25
)
# }