Reconstructing Secondary Data based on Air Quality, Meteorological and Traffic Data Considering Spatiotemporal Components
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Otros documentos de la autoría: Iskandaryan, Ditsuhi; Ramos, Jose Francisco; Trilles, Sergio
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comunitat-uji-handle2:10234/43662
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Reconstructing Secondary Data based on Air Quality, Meteorological and Traffic Data Considering Spatiotemporal ComponentsFecha de publicación
2023-02-08Editor
ElsevierCita bibliográfica
ISKANDARYAN, Ditsuhi; RAMOS, Francisco; TRILLES, Sergio. Reconstructing secondary data based on air quality, meteorological and traffic data considering spatiotemporal components. Data in Brief, 2023, vol. 47, p. 108957.Tipo de documento
info:eu-repo/semantics/articleVersión
info:eu-repo/semantics/publishedVersionPalabras clave / Materias
Resumen
This paper introduces the reconstructed dataset along with procedures to implement air quality prediction, which consists of air quality, meteorological and traffic data over time, and their monitoring stations and ... [+]
This paper introduces the reconstructed dataset along with procedures to implement air quality prediction, which consists of air quality, meteorological and traffic data over time, and their monitoring stations and measurement points. Given the fact that those monitoring stations and measurement points are located in different places, it is important to incorporate their time series data into a spatiotemporal dimension. The output can be used as input for various predictive analyses, in particular, we used the reconstructed dataset as input for grid-based (Convolutional Long Short-Term Memory and Bidirectional Convolutional Long Short-Term Memory) and graph-based (Attention Temporal Graph Convolutional Network) machine learning algorithms. The raw dataset is obtained from the Open Data portal of the Madrid City Council. [-]
Publicado en
Data in Brief, 2023, vol. 47Entidad financiadora
MCIN/AEI/10.13039/501100011033 | European Union | Universitat Jaume I | Ministerio de Ciencia, Innovación y Universidades (Spain)
Código del proyecto o subvención
PID2019-104065GA-I00 | PREDOC/2018/61 | IJC2018-035017-I
Título del proyecto o subvención
ERDF, a way of making Europe
Derechos de acceso
info:eu-repo/semantics/openAccess
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