TOAR-classifier v2: A data-driven classification tool for global air quality stations
Year: 2025
Type: article
Abstract: The TOAR-classifier V2 model is a data-driven tool that allows for an objective classification of air quality measuring stations as urban, rural, or suburban. Such classification is important in the analysis of air pollutant trends and regional signatures. The model is employed in the second Tropospheric Ozone Assessment Report but can also be used in other research work. The upload folder contains: data/: Contains all datasets used in this work, including machine learning model predictions for station categories figures/: contains all the figures TOAR-classifier_v2.ipynb: Jupyter notebook containing the implementation. requirements.txt: Lists all required Python packages
Author: Mache, Ramiyou Karim
Language: English
Subfield: Environmental Engineering
Field: Environmental Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6967847208
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