Provides the facility to calculate non-isotropic accumulated cost surface, least-cost paths, least-cost corridors, least-cost networks using a number of human-movement-related cost functions that can be selected by the user. It just requires a Digital Terrain Model, a start location and (optionally) destination locations. See Alberti (2019) <doi:10.1016/j.softx.2019.100331>.

Toolbox and 'shiny' application to help researchers design
    movement ecology studies, focusing on two key objectives: estimating
    home range areas, and estimating fine-scale movement behavior,
    specifically speed and distance traveled.  It provides interactive
    simulations and methodological guidance to support study planning and
    decision-making.  The application is described in Silva et al. (2023)
    <doi:10.1111/2041-210X.14153>.

Create animated biplots that enables dynamic visualisation of temporal or sequential changes in multivariate data by animating a single biplot across the levels of a time variable. It builds on objects from the 'biplotEZ' package, Lubbe S, le Roux N, Nienkemper-Swanepoel J, Ganey R, Buys R, Adams Z, Manefeldt P (2024) <doi:10.32614/CRAN.package.biplotEZ>, allowing users to create animated biplots that reveal how both samples and variables evolve over time.

Offers an easy and automated way to scale up individual-level space use analysis to 
    that of groups. Contains a function from the 'move' package to calculate a dynamic Brownian 
    bridge movement model from movement data for individual animals, as well as functions to 
    visualize and quantify space use for individuals aggregated in groups. Originally written with 
    passive acoustic telemetry in mind, this package also provides functionality to account for
    unbalanced acoustic receiver array designs, and satellite tag data.

Provides tools for animal movement modelling using hidden Markov
    models. These include processing of tracking data, fitting hidden Markov models
    to movement data, visualization of data and fitted model, decoding of the state
    process, etc. <doi:10.1111/2041-210X.12578>.