airpeak 0.1.0

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Airpeak

A Python package for recognizing build-up and decay events from pollutant concentration data and estimating pollutant loss rates.

Installation

1. Clone this repository on your machine :

   git clone [e-mail]:EPFL-HOBEL/Airpeak.git
   

2. Go inside the root directory of this package (where pyproject.toml is) and run this command :

   pip install .
   

Documentation

You can either read online documentation from this link.

Or follow these steps and build them locally :

1. Go inside the root directory of this package (where pyproject.toml is) and run this command :

   pip install .[docs]
   

2. Run from root directory

   make -C docs html
   

3. Open docs/build/html/index.html with your favorite browser.

Reference

1. Du, B., & Siegel, J. A. (2023). Estimating indoor pollutant loss using mass balances and unsupervised clustering to recognize decays. Environmental Science & Technology, 57(27), 10030-10038. https://doi.org/10.1021/acs.est.3c00756

2. Du, B., Reda, I., Licina, D., Kapsis, C., Qi, D., Candanedo, J. A., & Li, T. (2024). Estimating Air Change Rate in Mechanically Ventilated Classrooms Using a Single CO2 Sensor and Automated Data Segmentation. Environmental science & technology, 58(42), 18788-18799. https://doi.org/10.1021/acs.est.4c02797

Contributors ✨

Thanks goes to these wonderful people (emoji key):

Bowen Du 💻 🔣

Quentin Eschmann 💻 📖

This project follows the all-contributors specification. Contributions of any kind welcome!