Multilevel Representations of Multiple Geographical Objects

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UDC.coleccionInvestigación
UDC.departamentoCiencias da Computación e Tecnoloxías da Información
UDC.grupoInvLaboratorio de Bases de Datos (LBD)
UDC.institutoCentroCITIC - Centro de Investigación de Tecnoloxías da Información e da Comunicación
UDC.journalTitleThe Computer Journal
UDC.startPagebxag034
dc.contributor.authorGutiérrez-Asorey, Pablo
dc.contributor.authorBrisaboa, Nieves R.
dc.contributor.authorCortiñas, Alejandro
dc.contributor.authorRodríguez Luaces, Miguel
dc.contributor.authorParamá, José R.
dc.contributor.authorVarela Rodeiro, Tirso
dc.date.accessioned2026-07-06T12:13:58Z
dc.date.available2026-07-06T12:13:58Z
dc.date.issued2026
dc.description.abstract[Abstract]: In this work, we explore different solutions for the problem of representing and querying geographical objects at different scales (zoom levels). In Geographic Information Systems (GIS), the maps we see when looking at the world at a planetary scale versus seeing the detailed coast of one province of a particular country are typically different, since GIS stores several maps, each with the appropriate level of detail for visualizing at a different scale. With the technique presented in this paper, it is possible to store and query the data of multiple geographical objects at different levels of scale, drastically reducing space consumption.
dc.description.sponsorshipThis work was supported by the CITIC, as a center accredited for excellence within the Galician University System and a member of the CIGUS Network, receives subsidies from the Department of Education, Science, Universities, and Vocational Training of the Xunta de Galicia. Additionally, it is co-financed by the EU through the FEDER Galicia 2021-27 operational program (Ref. ED431G 2023/01); and by Spain’s INE (National Statistics Institute); MICIU/AEI/10.13039/501100011033 EU/ERDF A way of making Europe: [OASSIS-UDC: ED431G 2023/01], [EarthDL: PID2022-141027NB-C21]); [AGRARD: PID2024-155657OB-C22]; by UE FEDER [0079_ATEMPO_6_E], [0064 _GRESINT_1_E].
dc.description.sponsorshipXunta de Galicia; ED431G 2023/01
dc.identifier.citationPablo Gutiérrez-Asorey, Nieves R Brisaboa, Alejandro Cortiñas, Miguel R Luaces, José R Paramá, Tirso V Rodeiro, Multilevel representations of multiple geographical objects, The Computer Journal, 2026;, bxag034, https://doi.org/10.1093/comjnl/bxag034
dc.identifier.doi10.1093/comjnl/bxag034
dc.identifier.issn1460-2067
dc.identifier.urihttps://hdl.handle.net/2183/48783
dc.language.isoeng
dc.publisherOxford University Press
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2022-141027NB-C21/ES/MODELADO, DESCUBRIMIENTO, EXPLORACION Y ANALISIS DE DATA LAKES MEDIOAMBIENTALES [UDC]
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2024-2027/PID2024-155657OB-C22/ES/DESARROLLO DE ALMACENAMIENTO COMPACTO PARA PLATAFORMAS DE DATOS GEOESPACIALES LISTOS PARA EL ANALISIS
dc.relation.urihttps://doi.org/10.1093/comjnl/bxag034
dc.rightsAttribution-NonCommercial 4.0 Internationalen
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/
dc.subjectMultiscale Geographic Representation
dc.subjectGeographic Information Systems (GIS)
dc.subjectSpatial Data Compression
dc.titleMultilevel Representations of Multiple Geographical Objects
dc.typejournal article
dc.type.hasVersionVoR
dspace.entity.typePublication
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