Trackintel

Abstract

1. Introduction

Try trackintel online in a MyBinder notebook: [](https://mybinder.org/v2/gh/mie-lab/trackintel/HEAD?filepath=%2Fexamples%2Ftrackintel_basic_tutorial.ipynb)

The image below explicitly shows the definition of locations as clustered staypoints, generated by one or several users.

For example, the plot below shows the generated staypoints and triplegs from the imported raw positionfix data.

2. Objective

trackintel is a framework for spatio-temporal analysis of movement trajectory and mobility data.

This project demonstrates how Python, Pandas can be applied to a real-world Data Science problem.

4. Technology Stack

• GeoPandas
• Matplotlib
• GeoAlchemy2
• scikit-learn
• similaritymeasures

5. System Requirements

General requirements for this technology stack — check the README for exact versions.

• Python 3.8 or later
• pip / virtualenv for dependencies
• VS Code, PyCharm or Jupyter Notebook
• Git (to clone the repository)

6. Installation & Setup

git clone https://github.com/mie-lab/trackintel.git
cd trackintel

conda install -c conda-forge trackintel

pip install trackintel

import trackintel as ti

ti.print_version()

Full setup instructions are in the project README.

7. Future Enhancements

Suggested extensions you can add to make this your own project.

• Turn the analysis into an interactive dashboard
• Automate data refresh with a scheduled job
• Add a predictive model on top of the analysis

8. Viva / Review Questions

Common questions examiners ask for projects in this domain.

1. What is the source of the dataset and how was missing data handled?
2. Which exploratory analysis steps revealed the most useful insight?
3. Why were these particular charts chosen to present the data?
4. Which statistical or ML technique supports the conclusions?
5. How could the analysis be automated or refreshed with new data?

9. Source Code & License

This project is developed by mie-lab and published on GitHub under the MIT License. Please follow the license terms and credit the original author when you use or modify this code.