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An R package providing spatial transformation methods for movement data

The primary aim of the anispace package is to provide spatial transformation methods for movement data.

Most of anispace is stable. A few newer interfaces are experimental, and may still change without a deprecation cycle: transform_euler_to_quaternion(), transform_quaternion_to_euler(), quat_from_vectors(), quat_angular_velocity() and transform_to_egocentric(align = "orientation").

Installation

You can install the development version of anispace with:

install.packages('anispace', repos = c('https://animovement.r-universe.dev', 'https://cloud.r-project.org'))

Once you have installed the package, you can load it with:

library("anispace")

Citation

If you enjoy the package, please make sure to cite it. If you find a bug, feel free to open an issue.

To cite anispace in publications use:

citation("anispace")
#> To cite anispace in publications, please cite the animovement toolbox
#> as a whole (the first entry below). If your work used only anispace,
#> you may cite the package directly instead (the second entry).
#> 
#>   Roald-Arbøl M (2026). "animovement: An R toolbox for analysing
#>   movement across space and time." doi:10.5281/zenodo.13235277
#>   <https://doi.org/10.5281/zenodo.13235277>.
#>   <https://animovement.dev/animovement/>.
#> 
#>   Roald-Arbøl M (2026). "anispace: An R package providing spatial
#>   transformation methods for movement data."
#>   doi:10.5281/zenodo.21996854
#>   <https://doi.org/10.5281/zenodo.21996854>.
#>   <https://animovement.dev/anispace/>.
#> 
#> To see these entries in BibTeX format, use 'print(<citation>,
#> bibtex=TRUE)', 'toBibtex(.)', or set
#> 'options(citation.bibtex.max=999)'.