speedDistribution: Compute average speed at each location

In moveBB: Analysis of Trajectory Data using Linear or Brownian Motion Model

Description

For each grid cell, this function computes the average speed over time conditioned on the trajectory being in that cell.

Usage

speedDistribution(tr, grid = NULL, timestepSize = 60, time.scale = timestepSize, xc = NULL, yc = NULL, grid.dim = 100, grid.pad = 0.2)

Arguments

tr	The trajectory for which to compute the UD
grid	a grid of class asc
timestepSize	The difference between consecutive time steps, in seconds.
time.scale	The length of the intervals over which to compute the speed.
xc	The x coordinates of the vertical grid lines
yc	The y coordinates of the horizontal grid lines
grid.dim	If all of grid, xc and yc are omitted, this specifies the dimension of the shortest axis of the grid used.
grid.pad	If the grid is automatically generated, its range is the range of the relocations extended grid.pad times the length of the range on each side.

Value

Returns a list, indexed by the IDs in tr. If grid is given, each element of the result list is an object of class asc, representing the same grid. Otherwise, each element of the list is a matrix, indexed by the coordinates specified in xc and yc, or by the coordinates computed from tr.

See Also

velocity, speed, bbtraj

Examples

data("vervet_monkeys", package="moveBB")

## Compute the speed distribution and plot the result
#sd <- speedDistribution(monkey.tr)
#image(sd[[1]]) # Plot only the distribution of the first entity

moveBB documentation built on May 2, 2019, 5:50 p.m.