172f7f8c27
Successfully implemented access to https://opensky-network.org, with manual API auth commitcb516d4dbdAuthor: eneller <erikneller@gmx.de> Date: Fri Jan 16 19:36:08 2026 +0100 chore: restore order commit3a73400ac8Author: lukasadrion <lukas.adrion@uni-ulm.de> Date: Wed Jan 14 19:31:05 2026 +0100 add oauth with openSkies api and plot one flight commitbdf075353cAuthor: lukasadrion <lukas.adrion@uni-ulm.de> Date: Mon Jan 5 14:17:16 2026 +0100 update to flightV5 commit09ca49ec99Author: lukasadrion <lukas.adrion@uni-ulm.de> Date: Mon Jan 5 13:51:54 2026 +0100 remove old csv file commitc925a49c80Author: lukasadrion <lukas.adrion@uni-ulm.de> Date: Mon Jan 5 13:49:56 2026 +0100 download flight data and select flight BEL40V
34 lines
2.4 KiB
Markdown
34 lines
2.4 KiB
Markdown
# 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 (1)
|
||
|
||
2. perform the selections in the graphical user interface (GUI) of your R script,
|
||
|
||
3. determine the characteristics of each trajectory according to the parameters: diffusion distance, straightness, duration of travel, mean travel velocity and fractal dimension (2),
|
||
|
||
4. 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.
|
||
|
||
5. Demonstrate the application of the developed software support on a selected example of use.
|
||
|
||
6. 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()
|
||
```
|
||
|
||
[OpenSky](https://opensky-network.org) access also requires credentials placed in a `.env` file, for which an example is provided in `.env.example`.
|