get.track.densities.3d: Extract tldCube and autodifferences functions from a...

In eRTG3D: Empirically Informed Random Trajectory Generation in 3-D

Extract tldCube and autodifferences functions from a consistent track

Description

Get densities creates a list consisting of the 3 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 turning angles, lift angles and step lengths with a lag of 1 to maintain minimal level of autocorrelation in each of the terms.

Usage

get.track.densities.3d(
  track,
  gradientDensity = TRUE,
  heightDistEllipsoid = TRUE,
  DEM = NULL,
  maxBin = 25
)

Arguments

track	a data.frame with 3 columns containing the x,y,z coordinates
gradientDensity	logical: Should a distribution of the gradient angle be extracted and later used in the simulations?
heightDistEllipsoid	logical: Should a distribution of the flight height over ellipsoid be extracted and later used in the sim.cond.3d()?
DEM	a raster containing a digital elevation model, covering the same extent as the track
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 height distribution function)

Note

The time between the acquisition of fix points of the track must be constant, otherwise this leads to distorted statistic distributions, which increases the probability of dead ends. In this case please check track.split.3d and get.section.densities.3d

Examples

get.track.densities.3d(niclas, heightDist = TRUE)

eRTG3D documentation built on March 18, 2022, 6:11 p.m.