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A web-based support system for biometeorological research

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A web-based support system for biometeorological research

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dc.contributor.author Arroquia-Cuadros, Benjamin es_ES
dc.contributor.author Marqués-Mateu, Ángel es_ES
dc.contributor.author Sebastiá Tarín, Laura es_ES
dc.contributor.author Fdez-Arroyabe, Pablo es_ES
dc.date.accessioned 2021-12-13T19:00:13Z
dc.date.available 2021-12-13T19:00:13Z
dc.date.issued 2021-08 es_ES
dc.identifier.issn 0020-7128 es_ES
dc.identifier.uri http://hdl.handle.net/10251/178246
dc.description.abstract [EN] Data are the fundamental building blocks to conduct scientific studies that seek to understand natural phenomena in space and time. The notion of data processing is ubiquitous and nearly operates in any project that requires gaining insight from the data. The increasing availability of information sources, data formats and download services offered to the users, makes it difficult to reuse or exploit the potential of those new resources in multiple scientific fields. In this paper, we present a spatial extract-transform-load (spatial-ETL) approach for downloading atmospheric datasets in order to produce new biometeorological indices and expose them publicly for reuse in research studies. The technologies and processes involved in our work are clearly defined in a context where the GDAL library and the Python programming language are key elements for the development and implementation of the geoprocessing tools. Since the National Oceanic and Atmospheric Administration (NOAA) is the source of information, the ETL process is executed each time this service publishes an updated atmospheric prediction model, thus obtaining different forecasts for spatial and temporal analyses. As a result, we present a web application intended for downloading these newly created datasets after processing, and visualising interactive web maps with the outcomes resulting from a number of geoprocessing tasks. We also elaborate on all functions and technologies used for the design of those processes, with emphasis on the optimisation of the resources as implemented in cloud services es_ES
dc.language Inglés es_ES
dc.publisher Springer-Verlag es_ES
dc.relation.ispartof International Journal of Biometeorology es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Biometeorology es_ES
dc.subject Geomatics es_ES
dc.subject Geoprocessing es_ES
dc.subject Data science es_ES
dc.subject Webmapping es_ES
dc.subject ETL es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.subject.classification INGENIERIA CARTOGRAFICA, GEODESIA Y FOTOGRAMETRIA es_ES
dc.title A web-based support system for biometeorological research es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1007/s00484-020-01985-y es_ES
dc.rights.accessRights Cerrado es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Cartográfica Geodesia y Fotogrametría - Departament d'Enginyeria Cartogràfica, Geodèsia i Fotogrametria es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació es_ES
dc.description.bibliographicCitation Arroquia-Cuadros, B.; Marqués-Mateu, Á.; Sebastiá Tarín, L.; Fdez-Arroyabe, P. (2021). A web-based support system for biometeorological research. International Journal of Biometeorology. 65(8):1313-1323. https://doi.org/10.1007/s00484-020-01985-y es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1007/s00484-020-01985-y es_ES
dc.description.upvformatpinicio 1313 es_ES
dc.description.upvformatpfin 1323 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 65 es_ES
dc.description.issue 8 es_ES
dc.identifier.pmid 32789557 es_ES
dc.relation.pasarela S\417449 es_ES
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