movement_metrics {amt} | R Documentation |
Movement metrics
Description
Functions to calculate metrics such as straightness, mean squared displacement (msd), intensity use,
sinuosity, mean turn angle correlation (tac
) of a track.
Usage
straightness(x, ...)
cum_dist(x, ...)
tot_dist(x, ...)
msd(x, ...)
intensity_use(x, ...)
sinuosity(x, ...)
tac(x, ...)
Arguments
x |
|
... |
Further arguments, none implemented. |
Details
The intensity use is calculated by dividing the total movement distance (tot_dist
) by the square of the area of movement (= minimum convex polygon 100).
Value
A numeric vector of length one.
References
-
Abrahms B, Seidel DP, Dougherty E, Hazen EL, Bograd SJ, Wilson AM, McNutt JW, Costa DP, Blake S, Brashares JS, others (2017). “Suite of simple metrics reveals common movement syndromes across vertebrate taxa.” Movement ecology, 5(1), 12.
-
Almeida PJ, Vieira MV, Kajin M, Forero-Medina G, Cerqueira R (2010). “Indices of movement behaviour: conceptual background, effects of scale and location errors.” Zoologia (Curitiba), 27(5), 674–680.
-
Swihart RK, Slade NA (1985). “Testing for independence of observations in animal movements.” Ecology, 66(4), 1176–1184.
Examples
data(deer)
tot_dist(deer)
cum_dist(deer)
straightness(deer)
msd(deer)
intensity_use(deer)