Plot GPS Velocities

Plot the log-probability of the observed velocity data points versus the regressed nonlinear quantile regression

plotVelocity(
  velocity,
  v_lim = 3,
  v_min = 0,
  slope_lim = 1,
  bins = 100,
  x.bins = bins,
  y.bins = bins
)

Arguments

velocity

The list output to getVelocity.

v_lim

The maximum velocities to plot (y-axis limit). Default is 3 m/s.

v_min

The minimum velocities to plot (y-axis limit). Default is 0.

slope_lim

The maximum slopes to plot (x-axis limits). Default is 1.

bins

Into how many bins are the axes divided?

x.bins

Into how many bins are the axes divided?

y.bins

Into how many bins are the axes divided?

Value

A ggplot object

Examples

# Note that the output results should be senseless since they
# are computed on random data

# If the data contains an 'elevation' or 'z' column
data <- data.table(x = runif(10000,10000,20000),
                   y = runif(10000,30000,40000),
                   elevation = runif(10000,0,200),
                   dt = 120,
                   ID = rep(1:10,each=1000))
velocity <- getVelocity(data = data, z = 'elevation')
plotVelocity(velocity)