Sensing the Air We Breathe — The OpenSense Zurich Dataset
DOI:
https://doi.org/10.1609/aaai.v26i1.8163Keywords:
air pollution, spatio-temporal modeling, machine learning, spatial constraintsAbstract
Monitoring and managing urban air pollution is a significant challenge for the sustainability of our environment. We quickly survey the air pollution modeling problem,introduce a new dataset of mobile air quality measurements in Zurich, and discuss the challenges of making sense of these data.
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Published
2021-09-20
How to Cite
Li, J. J., Faltings, B., Saukh, O., Hasenfratz, D., & Beutel, J. (2021). Sensing the Air We Breathe — The OpenSense Zurich Dataset. Proceedings of the AAAI Conference on Artificial Intelligence, 26(1), 323-325. https://doi.org/10.1609/aaai.v26i1.8163
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Section
AAAI Technical Track: Computational Sustainability