moveVis 0.10.4
Publication, added parallelization, new memory settings and bug fixes. Released on CRAN: 2020-02-07.
Peer-reviewed publication:
- An open-access paper accompanying the
moveVis
R package has been peer-reviewed by and published in 'Methods in Ecology and Evolution' (see https://doi.org/10.1111/2041-210X.13374). - Reference: Schwalb-Willmann, J.; Remelgado, R.; Safi, K.; Wegmann, M. (2020). moveVis: Animating movement trajectories in synchronicity with static or temporally dynamic environmental data in R. Methods in Ecology and Evolution. Accepted Author Manuscript. https://doi.org/10.1111/2041-210X.13374.
- Citation: Please use
citation("moveVis")
to cite moveVis, e.g. when you use it in publications or presentations.
New features:
- Many computationally expensive
moveVis
tasks can now be parallelized, as multi-core support formoveVis
has been implemented (seeuse_multicore()
) - Added a new example data set
whitestork_data
, representing coordinates and acquisition times of 15 White Storks migrating from Lake of Constance, Germany, to Africa.
New functions:
use_multicore()
lets you turn on multi-core support ofmoveVis
to increase computational time through parallelization.use_disk()
enables the usage of disk space for creating frames. This can prevent memory overload when creating frames for very large animations.
Bug fixes:
- Bug that caused a gap between traces and paths.