index.qmd

# Welcome to the course! {-}

```{r}
#| include: false

source("01_R_Files/helperfunctions.R")
```

For the practical part of the course, building-up skills for analysing movement data in the software environment `R`, you'll be using data from the ZHAW project ["Prävention von Wildschweinschäden in der Landwirtschaft"](https://www.zhaw.ch/de/ueber-uns/aktuell/news/detailansicht-news/event-news/wildschweinschaeden-mit-akustischer-methode-verhindern/).

The project investigates the spatiotemporal movement patterns of wild boar (*Sus scrofa*) in agricultural landscapes. We will study the trajectories of these wild boar, practising the most basic analysis tasks of Computational Movement Analysis (CMA). 

```{r}
#| results: "asis"
#| echo: false
#| message: false

youtube("WYXnCQMfPiI", "This video gives a nice introduction into the project", selfcontained = TRUE)
```

## License {-}

These R Exercises are created by Patrick Laube, Nils Ratnaweera, Nikolaos Bakogiannis and Dominic Lüönd for the Course *Computational Movement Analysis* and are licensed under [Creative Commons Attribution 4.0 International License](https://creativecommons.org/licenses/by/4.0/).

<a rel="license" href="http://creativecommons.org/licenses/by/4.0/"><img alt="Creative Commons License" style="border-width:0" src="https://i.creativecommons.org/l/by/4.0/88x31.png" /></a><br />This work is licensed under a <a rel="license" href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International License</a>.