This repository contains two Jupyter notebooks developed for the Time Series and Mobility Data (TSMD) course project. The project focuses on analyzing aircraft flight data provided by the OpenSky Network, using mobility data analysis and time series analysis techniques.

In this part, we explore and analyze a dataset containing aircraft flight data. The analysis includes data interpolation, stop detection, and visualization of aircraft flow between countries using the skmob library.

This part focuses on clustering and classification of flight route trajectories using the same OpenSky dataset, emphasizing the variable length of time series data.

We utilize aircraft flight data provided by the OpenSky Network, which offers real-time and historical flight data collected by a global network of sensors. More details about the dataset and its usage can be found within the notebooks.

More detailed explanations and comments can be found within the notebooks.

To set up the environment, use the provided environment.yml file. It is recommended to run this project on a server.

conda env create -f environment.yml