qProb.3d: Q probabilities for n steps

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

Description

Calculates the Q probability, representing the pull to the target. The number of steps on which the Q prob will be quantified is number of total segments less than one (the last step is defined by the target itself).

Usage

qProb.3d(sim, n.locs, parallel = FALSE, maxBin = 25)

Arguments

sim	the result of sim.uncond.3d, or a data frame with at least x,y,z-coordinates, the arrival azimuth and the arrival gradient.
n.locs	number of total segments to be modeled, the length of the desired conditional empirical random walk
parallel	logical: run computations in parallel (n-1 cores)? Or numeric: the number of nodes (maximum: n - 1 cores)
maxBin	numeric scalar, maximum number of bins per dimension of the tld-cube (turnLiftStepHist)

Value

A list containing the Q - tldCubes for every step

Examples

qProb.3d(niclas, 3)

munterfi/eRTG3D documentation built on Feb. 25, 2022, noon