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Found 4 papers, 2 papers with code
SOCAIRE: Forecasting and Monitoring Urban Air Quality in Madrid
Air quality has become one of the main issues in public health and urban planning management, due to the proven adverse effects of high pollutant concentrations.
On the Inclusion of Spatial Information for Spatio-Temporal Neural Networks
When confronting a spatio-temporal regression, it is sensible to feed the model with any available prior information about the spatial dimension.
A Spatio-Temporal Spot-Forecasting Framework for Urban Traffic Prediction
Spatio-temporal forecasting is an open research field whose interest is growing exponentially.
Probabilistic forecasting approaches for extreme NO$_2$ episodes: a comparison of models
In the case of NO$_2$, it allows for the calculation of future chances of exceeding thresholds and to detect pollution peaks.
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