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‎NEWS.md

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***
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## moveVis 0.10.4
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Publication, added parallelization, new memory settings and bug fixes. In development.
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Publication, added parallelization, new memory settings and bug fixes. Submitted to CRAN.
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**Peer-reviewed publication:**
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* An <a href="https://doi.org/10.1111/2041-210X.13374">open-access paper</a> 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).
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* 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. doi:10.1111/2041-210X.13374*.
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* 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*.
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* Citation: Please use `citation("moveVis")` to cite moveVis, e.g. when you use it in publications or presentations.
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**New features:**

‎README.md

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With version 0.10.0, the package has been rewritten from the ground up with the goal to make it easier to customize the appearance of movement animations. Thus, the logic of the package, its functions and their syntax have changed.
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<a href="http://movevis.org">`moveVis`</a> 0.10.3 (stable) can be installed from CRAN:
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The latest stable version of <a href="http://movevis.org">`moveVis`</a> can be installed from CRAN:
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```r
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install.packages("moveVis")
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An <a href="https://doi.org/10.1111/2041-210X.13374">open-access paper</a> 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). Please cite moveVis, e.g. when you use it in publications or presentations, using the output of `citation("moveVis")` or as follows:
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*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. doi:10.1111/2041-210X.13374*
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*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*
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‎cran-comments.md

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## Test environments
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* Ubuntu 19.04, R 3.6.1 (local)
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* Ubuntu 18.04.2 LTS, R 3.6.1 (local)
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* Ubuntu 19.04, R 3.6.2 (local)
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* Ubuntu 18.04.2 LTS, R 3.6.2 (local)
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* Ubuntu 16.04.6 LTS, R 3.5.3 (travis)
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* Ubuntu 16.04.6 LTS, R 3.6.1 (travis)
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* Ubuntu 16.04.6 LTS, R 3.6.2 (travis)
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* Ubuntu 16.04.6 LTS, R-devel (travis)
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* Windows Server 2008, R 3.5.3 (winbuilder)
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* Windows Server 2008, R 3.6.1 (winbuilder)
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* Windows Server 2008, R-devel (winbuilder)
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* Windows Server 2008, R-devel ATC (winbuilder)
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* Windows Server 2012 R2, R 3.6.2 (appveyor)
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## R CMD check results
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0 errors | 0 warnings | 0 notes
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* This submission contains minor improvements and bug fixes
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* This submission contains minor improvements and bug fixes and adds two new functions

‎docs/authors.html

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‎docs/index.html

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‎docs/news/index.html

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‎inst/CITATION

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title = "moveVis: Animating movement trajectories in synchronicity with static or temporally dynamic environmental data in R",
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journal = "Methods in Ecology and Evolution",
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year = "2020",
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doi = "doi:10.1111/2041-210X.13374",
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textVersion = "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. doi:10.1111/2041-210X.13374"
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)
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doi = "10.1111/2041-210X.13374",
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textVersion = "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"
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)

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