Mostrar el registro sencillo del ítem
dc.contributor.author | Goerlich Sanchis, Francisco José | es_ES |
dc.contributor.author | Cantarino Martí, Isidro | es_ES |
dc.date.accessioned | 2015-11-18T13:57:57Z | |
dc.date.available | 2015-11-18T13:57:57Z | |
dc.date.issued | 2013-06-21 | |
dc.identifier.issn | 1365-8816 | |
dc.identifier.uri | http://hdl.handle.net/10251/57695 | |
dc.description | This is an author's accepted manuscript of an article published in "International Journal of Geographical Information Science"; Volume 27, Issue 12, 2013; copyright Taylor & Francis; available online at: http://www.tandfonline.com/doi/abs/10.1080/13658816.2013.799283 | es_ES |
dc.description.abstract | This article describes a high-resolution land cover data set for Spain and its application to dasymetric population mapping (at census tract level). Eventually, this vector layer is transformed into a grid format. The work parallels the effort of the Joint Research Centre (JRC) of the European Commission, in collaboration with Eurostat and the European Environment Agency (EEA), in building a population density grid for the whole of Europe, combining CORINE Land Cover with population data per commune. We solve many of the problems due to the low resolution of CORINE Land Cover, which are especially visible with Spanish data. An accuracy assessment is carried out from a simple aggregation of georeferenced point population data for the region of Madrid. The bottom-up grid constructed in this way is compared to our top-down grid. We show a great improvement over what has been reported from commune data and CORINE Land Cover, but the improvements seem to come entirely from the higher resolution data sets and not from the statistical modeling in the downscaling exercise. This highlights the importance of providing the research community with more detailed land cover data sets, as well as more detailed population data. The dasymetric grid is available free of charge from the authors upon request. | es_ES |
dc.description.sponsorship | The authors acknowledge financial support from the BBVA Foundation-Ivie research programme and the first author also acknowledges support from the Spanish Ministry of Science and Technology, ECO2011-23248 project. Results mentioned, but not shown, are available from the authors upon request. The grid numbers are also available from the authors. | en_EN |
dc.language | Inglés | es_ES |
dc.publisher | Taylor & Francis: STM, Behavioural Science and Public Health Titles | es_ES |
dc.relation.ispartof | International Journal of Geographical Information Science | es_ES |
dc.rights | Reserva de todos los derechos | es_ES |
dc.subject | Population density | es_ES |
dc.subject | Dasymetric mapping | es_ES |
dc.subject | Downscaling | es_ES |
dc.subject | Corine Land Cover | es_ES |
dc.subject | SIOSE | es_ES |
dc.subject.classification | INGENIERIA DEL TERRENO | es_ES |
dc.title | A population density grid for Spain | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1080/13658816.2013.799283 | |
dc.relation.projectID | info:eu-repo/grantAgreement/MICINN//ECO2011-23248/ES/PRODUCTIVIDAD Y COMPETITIVIDAD EN LA SOCIEDAD DEL CONOCIMIENTO: DESARROLLO METODOLOGICO Y ANALISIS EMPIRICO/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Ingeniería del Terreno - Departament d'Enginyeria del Terreny | es_ES |
dc.description.bibliographicCitation | Goerlich Sanchis, FJ.; Cantarino Martí, I. (2013). A population density grid for Spain. International Journal of Geographical Information Science. 27(12):1-17. https://doi.org/10.1080/13658816.2013.799283 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | http://dx.doi.org/10.1080/13658816.2013.799283 | es_ES |
dc.description.upvformatpinicio | 1 | es_ES |
dc.description.upvformatpfin | 17 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 27 | es_ES |
dc.description.issue | 12 | es_ES |
dc.relation.senia | 246486 | es_ES |
dc.contributor.funder | Ministerio de Ciencia e Innovación | es_ES |
dc.contributor.funder | Fundación BBVA | es_ES |