Table of movement processes. — movmods • movedesign

Lists all continuous-time movement process models in ctmm. Each row is a different movement model applicable for animal movement.

Usage

movmods

A data.frame with 5 rows and 6 variables:

name: Full descriptive name of the model (e.g., "Ind. Ident. Distr. (IID)"). Used throughout ctmm. See reference for more details on each model and their properties.
name_short: Abbreviated name, used where space is limited.
tau_p: Logical. TRUE if the model includes the position autocorrelation timescale (i.e., home range crossing time).
tau_v: Logical. TRUE if the model includes the velocity autocorrelation timescale (i.e., directional persistence).
hrange: Logical; TRUE if the model supports range residency, meaning the animal is likely to remain within a bounded area or "home range" instead of expanding indefinitely.
pars: Character string summarizing which autocorrelation parameters (e.g., tau_p, tau_v) the model estimates. Shown in HTML for documentation.

Calabrese et al. (2016). ctmm: an R package for analyzing animal relocation data as a continuous-time stochastic process. Methods in Ecology and Evolution, 7(9), 1124-1132 doi:10.1111/2041-210X.12559.
Silva et al. (2022). Autocorrelation‐informed home range estimation: A review and practical guide. Methods in Ecology and Evolution, 13(3), 534-544 <10.1111/2041-210X.13786>.