Traj3DVelocity | R Documentation |
The velocity, as a 3-dimensional vector, is approximated at each point of the trajectory using first-order finite differences. Central, forward or backward differences can be used. Central differences yield a more accurate approximation if the velocity is smooth. As a practical guide, if velocity doesn't change much between steps, use central differences. If it changes substantially (and not just as an artifact of recording noise), then use either forward or backward differences.
Traj3DVelocity(trj3d, diff = c("central", "forward", "backward"))
trj3d |
3-dimensional trajectory whose velocity is to be calculated. |
diff |
Type of difference to be calculated, one of "central" (the default), "forward" or "backward". |
Intuitively, think of the central difference velocity at a point as the mean of the velocities of the two adjacent steps. Forward difference velocity is the velocity of the step starting at the point. Backward difference is the velocity of the step ending at the point.
Speed (i.e. the magnitude of the velocity) can be derived from velocity by
calling Traj3DSpeed
.
A numeric matrix. Each row represents the 3D velocity vector at each
point along the trajectory, with 'x', 'y' and 'z' columns. If diff
is "central"
, the first and last velocity values will be NA
since velocity cannot be calculated for them. If diff
is
"forward"
, the last value will be NA, and if diff
is
"backward"
, the first value will be NA.
Traj3DSpeed
for calculating scalar speed, which is the
magnitude of the velocity vector at each step;
Traj3DResampleTime
and Traj3DRediscretize
to
resample a trajectory to fixed time or length steps; Finite differences on
Wikipedia.
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