dc.contributor.author | Arroquia-Cuadros, Benjamin | |
dc.contributor.author | Marqués-Mateu, Ángel | |
dc.contributor.author | Sebastia, Laura | |
dc.contributor.author | Fernández de Arróyabe Hernáez, Pablo | |
dc.contributor.other | Universidad de Cantabria | es_ES |
dc.date.accessioned | 2024-03-04T12:13:55Z | |
dc.date.available | 2024-03-04T12:13:55Z | |
dc.date.issued | 2019-07 | |
dc.identifier.issn | 2504-3900 | |
dc.identifier.uri | https://hdl.handle.net/10902/32061 | |
dc.description.abstract | Biometeorology is the field that relates meteorological and climatic variables with humans, animals and the environment in order to be studied jointly with their geographical distribution. The wide variety of data sources and the highly specialised data formats are fundamental issues for users in this area. This paper presents some preliminary results and several underlying technologies used to create a system to manage spatial data. Some sources of information are presented as a basis for biometeorological studies, together with a procedure for downloading and transforming the datasets. The resulting maps and data files derived from this study are useful for data analysis in other scientific fields. | es_ES |
dc.format.extent | 5 p. | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | MDPI | es_ES |
dc.rights | © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution(CC BY) license. | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
dc.source | Proceedings, 2019, 19(1), 19 | es_ES |
dc.subject.other | Geoprocessing | es_ES |
dc.subject.other | Biometeorology | es_ES |
dc.subject.other | GIS | es_ES |
dc.subject.other | Geocomputation | es_ES |
dc.title | Geospatial data processing for biometeorology. Mapping the difference of oxygen in the atmospheric surface | es_ES |
dc.type | info:eu-repo/semantics/conferenceObject | es_ES |
dc.rights.accessRights | openAccess | es_ES |
dc.identifier.DOI | 10.3390/proceedings2019019019 | |
dc.type.version | publishedVersion | es_ES |