Function reference • eRTG3D

Example data
`niclas`	Example track data.frame
`dem`	Example digital elevation model (DEM)
Trajectory properties
`track.properties.3d()`	Track properties of a 3-D track
`turn2target.3d()`	Turn angle to target
`lift2target.3d()`	Lift angle to target
`dist2target.3d()`	Distance to target
Movement probabilities
`get.densities.3d()`	Extract tldCube and autodifference approximation functions
`turnLiftStepHist()`	Three dimensional histogram
`qProb.3d()`	Q probabilities for n steps
Trajectory simulation
`sim.cond.3d()`	Conditional Empirical Random Walk (CERW) in 3-D
`sim.crw.3d()`	Simulation of a three dimensional Correlated Random Walk
`sim.glidingSoaring.3d()`	Simulates 'gliding & soaring' track with a given number of gliding steps
`sim.uncond.3d()`	Unconditional Empirical Random Walk (UERW) in 3-D
Plotting
`plot2d()`	Plot function to plot the 3-D tracks in 2-D plane
`plot3d()`	Plot track(s) with a surface of a digital elevation model in three dimensions
`plot3d.densities()`	Density plots of turn angle, lift angle and step length
`plot3d.multiplot()`	Multiple plot function for ggplot objects
`plot3d.tldCube()`	Visualize turn-lift-step histogram
`plotRaster()`	Plots a rasterLayer or rasterStack
Wrappers
`get.track.densities.3d()`	Extract tldCube and autodifferences functions from a consistent track
`get.section.densities.3d()`	Extract tldCube and autodifferences functions from track sections
`reproduce.track.3d()`	Reproduce a track with the eRTG3D
Parallel processing
`n.sim.cond.3d()`	Conditional Empirical Random Walks (CERW) in 3-D
`n.sim.glidingSoaring.3d()`	Simulates multiple 'gliding & soaring' tracks with a given number of gliding steps
`qProb.3d()`	Q probabilities for n steps
`reproduce.track.3d()`	Reproduce a track with the eRTG3D
`parpbapply()`	Parallel apply with progressbar
`parpblapply()`	Parallel lapply with progressbar
`parpbsapply()`	Parallel sapply with progressbar
Testing and verification
`test.eRTG.3d()`	Test the functionality of the eRTG3D
`test.verification.3d()`	Statistical Verification of the simulated track
Gliding and soaring
`get.glideRatio.3d()`	Calculate glide ratio
`sim.glidingSoaring.3d()`	Simulates 'gliding & soaring' track with a given number of gliding steps
Voxels
`chiMaps()`	Chi maps of two variables
`logRasterStack()`	Converts a rasterStack to logarithmic scale
`plotRaster()`	Plots a rasterLayer or rasterStack
`saveImageSlices()`	Export a dataCube as image slice sequence
`voxelCount()`	Apply voxel counting on a point cloud
Linkage to sf package
`track2sf.3d()`	Converts a track to a `'sf, data.frame'`
`sf2df.3d()`	Converts a sf data.frame to a normal dataframe
`is.sf.3d()`	Tests if the object is a simple feature collection (class: `'sf, data.frame'`)
Helpers
`transformCRS.3d()`	Transform coordinates reference system (CRS) of a 3-D track
`track.extent()`	Extent of track(s)
`track.split.3d()`	This function splits the by outliers in the time lag.
`movingMedian()`	Moving median in one dimension
`dem2track.extent()`	Crops the DEM to the extent of the track with a buffer
`dist2point.3d()`	Distance of each track point to a given point
`filter.dead.ends()`	Remove dead ends
`eRTG3D`	eRTG3D: Empirically Informed Random Trajectory Generator in 3-D

Reference

Example data

Trajectory properties

Movement probabilities

Trajectory simulation

Plotting

Wrappers

Parallel processing

Testing and verification

Gliding and soaring

Voxels

Linkage to sf package

Helpers