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# TOPIC 8
Develop an R-based software, which will perform the following tasks:
1. Download from the OpenSky Network online database the observations of the trajectory of a randomly selected aircraft on a randomly selected flight over at least five days, in uninterrupted continuity, perform the selections in the graphical user interface (GUI) of your R script,
2. determine the characteristics of each trajectory according to the parameters: diffusion distance, straightness, duration of travel, mean travel velocity and fractal dimension, using the R library trajr, (4) perform basic statistical analysis of the parameters of daily trajectories from
3. arithmetic mean, variance, quartiles, boxplot, estimate of the density
function of the experimental statistical distribution, analyze and interpret them.
4. Demonstrate the
application of the developed software support on a selected example of use. In the final project report,
describe the problem, describe the method and the developed software support in the R environment,
present and interpret the results, and form a conclusion.
## Resources
1. [The OpenSky Network. (2025). Internet archive of observed aircraft trajectories.](https://opensky-network.org/datasets/states/)
2. [Schäfer, M, Strohmeier, M, Lenders, V, Martinovic, I, Wilhelm, M. (2014). Bringing Up OpenSky: A Large-scale ADS-B Sensor Network for Research. In Proceedings of the 13th IEEE/ACM International Symposium on Information Processing in Sensor Networks (IPSN), pages 83-94.](https://opensky-network.org/files/publications/ipsn2014.pdf)
3. [Zheng, Y. (2015). Trajectory Data Mining: An Overview. ACM Transactions on Intelligent Systems and Technology, 61(3), 1–41.](https://doi.org/10.1145/2743025)
4. [Thulin, M. (2025). Modern Statistics with R: From wrangling and exploring data to inference and predictive modelling. CRC Press. Boca Raton, Fl.](https://modernstatisticswithr.com/)
5. [McLean, D J, and Skowron Volponi, M A. (2018). trajr: An R package for characterisation of animal trajectories. Ethology, 124, 440–448.](https://doi.org/10.1111/eth.12739)
## Setup
Use [renv](https://rstudio.github.io/renv/articles/renv.html) to install the correct dependencies using
```R
renv::restore()
```