chore: fix markdown
comply with stupid rstudio requirements for markdown
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README.md
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README.md
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# TOPIC 8
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Develop an R-based software, which will perform the following tasks:
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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,
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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
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3. arithmetic mean, variance, quartiles, boxplot, estimate of the density
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function of the experimental statistical distribution, analyze and interpret them.
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4. Demonstrate the
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application of the developed software support on a selected example of use. In the final project report,
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describe the problem, describe the method and the developed software support in the R environment,
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present and interpret the results, and form a conclusion.
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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)
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2. perform the selections in the graphical user interface (GUI) of your R script,
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3. determine the characteristics of each trajectory according to the parameters: diffusion distance, straightness, duration of travel, mean travel velocity and fractal dimension (2),
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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.
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5. Demonstrate the application of the developed software support on a selected example of use.
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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.
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## Resources
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1. [The OpenSky Network. (2025). Internet archive of observed aircraft trajectories.](https://opensky-network.org/datasets/states/)
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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)
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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)
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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)
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## Setup
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Use [renv](https://rstudio.github.io/renv/articles/renv.html) to install the correct dependencies using
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```R
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``` r
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renv::restore()
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```
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main.Rmd
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main.Rmd
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---
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title: "Topic 8"
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output: html_document
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date: "`r Sys.Date()`"
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---
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```{r setup, include=FALSE}
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knitr::opts_chunk$set(echo = TRUE)
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```
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# Download data
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from OpenSky https://opensky-network.org/datasets/states/#flights/
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```{r download}
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library(openSkies)
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```
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