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The trajectories can be plotted either in 2-D or in 3-D, using the
ggplot2 and plotly libraries. Additionally the
densities of the track properties can be visualized.
cerwList <- reproduce.track.3d(n.sim = 5, niclas, DEM = dem)The plot2d() function takes either one or two arguments.
The second argument can be a single track data.frame or list of track
data.frames as for example the output of n.sim.cons.3d().
Also a DEM rasterLayer can be passed to the function.
plot2d(niclas, cerwList, DEM=dem,
titleText=paste("Steps: ", nrow(niclas), ", Niclas", sep=""))
The plot3d() function takes either one or two arguments.
The second argument can be a single track data.frame or list of track
data.frames as for example the output of n.sim.cons.3d().
Also a DEM rasterLayer, which is plotted as a surface can be passed to
the function.
plot3d(niclas, cerwList, DEM=dem,
titleText=paste("Steps: ", nrow(niclas), ", Niclas", sep=""))The function takes either one or two tracks. The second track can be
a list of tracks as for example the output of
n.sim.cons.3d(). In this case the densities of turn angle,
lift angle and step length of all the simulations is taken. Additionally
the autodifferences parameter can be set to
TRUE, then the densities of the auto differences in turn
angle, lift angle and step length are visualized.
plot3d.densities(niclas, cerwList)
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.