get.densities.3d {eRTG3D}  R Documentation 
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 unidimensional 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 

heightEllipsoid 
flight height over the ellipsoid (absolute) or 
heightTopo 
flight height over the topography (relative) or 
maxBin 
numeric scalar, maximum number of bins per dimension of the tldcube (turnLiftStepHist) 
Value
A list containing the tldCube and the autodifferences functions (and additionally the flight height distribution functions)
Examples
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
)