TrackSteps: step decomposition as adehabitatLT::as.ltraj.
MovementNetwork: grid-cell movement network. CorePeriphery:
MINRES continuous core-periphery. NetworkRobustness: largest
component under targeted or random node removal and the robustness R.
MovementHmm: gamma / von Mises hidden Markov model fitted by EM
with Viterbi states. CrwKalman: Kalman-filtered correlated random
walk with measurement error. Identical to the Python arm
morie.fn.movetrack.
Usage
TrackSteps(x, y, t = NULL)
MovementNetwork(x, y, resolution, origin = c(0, 0))
CorePeriphery(A, tol = 1e-12, maxit = 10000L)
NetworkRobustness(A, strategy = "degree", seed = 1)
MovementHmm(
step,
angle,
n_states = 2L,
shape = NULL,
scale = NULL,
mu = NULL,
kappa = NULL,
maxit = 200L,
tol = 1e-10
)
CrwKalman(x, y, gamma = NULL, sigma = NULL, tau = NULL, cycles = 20L)Arguments
- x, y
Coordinates.
- t
Times (default 0, 1, ...).
- resolution
Cell size.
- origin
Grid origin.
- A
Adjacency matrix.
- tol, maxit
Convergence tolerance and iteration limit.
- strategy
"degree" (targeted) or "random".
- seed
Philox seed.
- step, angle
Step lengths and turning angles (NA when undefined).
- n_states
Number of states.
- shape, scale, mu, kappa
Starting emission parameters.
- gamma, sigma, tau
CRW persistence, process and measurement sd (NULL: estimate).
- cycles
Coordinate-search cycles.
References
Calenge, C., Dray, S. and Royer-Carenzi, M. (2009). The concept of animals' trajectories from a data analysis perspective. Ecological Informatics 4, 34-41.
Boyd, J. P., Fitzgerald, W. J., Mahutga, M. C. and Smith, D. A. (2010). Computing continuous core/periphery structures for social relations data with MINRES/SVD. Social Networks 32, 125-137.
Schneider, C. M. et al. (2011). Mitigation of malicious attacks on networks. PNAS 108, 3838-3841.
Michelot, T., Langrock, R. and Patterson, T. A. (2016). moveHMM. Methods in Ecology and Evolution 7, 1308-1315.
Jonsen, I. D., Mills Flemming, J. and Myers, R. A. (2005). Robust state-space modeling of animal movement data. Ecology 86, 2874-2880.