Efficient Multiscale Representations for Geographical Objects
| UDC.coleccion | Investigación | es_ES |
| UDC.conferenceTitle | 19th International Symposium on Web and Wireless Geographical Information Systems (W2GIS 2022) | es_ES |
| UDC.departamento | Ciencias da Computación e Tecnoloxías da Información | es_ES |
| UDC.grupoInv | Laboratorio de Bases de Datos (LBD) | es_ES |
| UDC.journalTitle | Lecture Notes in Computer Science | es_ES |
| UDC.volume | 13238 | es_ES |
| dc.contributor.author | Brisaboa, Nieves R. | |
| dc.contributor.author | Cortiñas, Alejandro | |
| dc.contributor.author | Gutiérrez-Asorey, Pablo | |
| dc.contributor.author | Varela Rodeiro, Tirso | |
| dc.contributor.author | Rodríguez Luaces, Miguel | |
| dc.date.accessioned | 2024-12-02T10:20:41Z | |
| dc.date.available | 2024-12-02T10:20:41Z | |
| dc.date.issued | 2022-05-19 | |
| dc.description | The congress was held in Constance, Germany, April 28–29 | es_ES |
| dc.description.abstract | [Abstract]: Maps need different representations of the same cartographic object in order to display it at several scale levels. When a user zooms in, the object should depict every detail as it is the main focus on the map. On the contrary, when the user zooms out, there is no need to display every single detail of the object as most would become as small as to be invisible. A common technique to speed up the display process is storing several representations for the same object at different scales. However, this technique raises redundancy, and therefore it increases space usage. This work aims at suppressing that redundancy by introducing four alternatives that use a unique representation for each cartographic object while still being able to retrieve simplified versions of them depending on the requested scale. | es_ES |
| dc.description.sponsorship | This work was supported by the CITIC research center funded by Xunta/FEDER-UE 2014–2020 Program grant ED431G 2019/01. Partially funded by MCIU-AEI/ FEDER-UE [BIZDEVOPS: RTI2018-098309-B-C32]; by MICINN (PGE/ERDF) [EXTRA-Compact: PID2020-114635RB-I00; MAGIST: PID2019-105221RB-C41; SIGTRANS-UDC: PDC2021-120917-C21; FLATCITY-POC: PDC2021-121239-C31]; by Xunta de Galicia/FEDER-UE [GRC: ED431C 2021/53] | es_ES |
| dc.description.sponsorship | Xunta de Galicia; ED431G 2019/01 | es_ES |
| dc.description.sponsorship | Xunta de Galicia; ED431C 2021/53 | es_ES |
| dc.identifier.citation | Brisaboa, N.R., Cortiñas, A., Gutiérrez-Asorey, P., Luaces, M.R., Rodeiro, T.V. (2022). Efficient Multiscale Representations for Geographical Objects. In: Karimipour, F., Storandt, S. (eds) Web and Wireless Geographical Information Systems. W2GIS 2022. Lecture Notes in Computer Science, vol 13238. Springer, Cham. https://doi.org/10.1007/978-3-031-06245-2_7 | es_ES |
| dc.identifier.isbn | 978-3-031-06244-5 | |
| dc.identifier.isbn | 978-3-031-06245-2 | |
| dc.identifier.issn | 1611-3349 | |
| dc.identifier.issn | 0302-9743 | |
| dc.identifier.uri | http://hdl.handle.net/2183/40443 | |
| dc.language.iso | eng | es_ES |
| dc.publisher | Springer Nature | es_ES |
| dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-098309-B-C32/ES/BIZDEVOPS-GLOBAL: UN FRAMEWORK TECNOLOGICO Y METODOLOGICO SOSTENIBLE PARA EL DESARROLLO DE SOFTWARE ALINEADO CON EL NEGOCIO EN DEVOPS GLOBAL | es_ES |
| dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-105221RB-C41/ES/VISUALIZACION Y EXPLORACION BASADA EN FLUJOS Y ANALITICA DE BIG DATA ESPACIAL/ | es_ES |
| dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-114635RB-I00/ES/EXPLOTACION ENRIQUECIDA DE TRAYECTORIAS CON ESTRUCTURAS DE DATOS COMPACTAS Y GIS/ | es_ES |
| dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PDC2021-120917-C21/ES/SIGTRANS | es_ES |
| dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PDC2021-121239-C31/ES/FLATCITY-POC | es_ES |
| dc.relation.uri | https://doi.org/10.1007/978-3-031-06245-2_7 | es_ES |
| dc.rights | © 2022 Springer Nature Switzerland AG | es_ES |
| dc.rights.accessRights | open access | es_ES |
| dc.subject | Cartographic generalization | es_ES |
| dc.subject | Compression | es_ES |
| dc.subject | Geographical information systems | es_ES |
| dc.title | Efficient Multiscale Representations for Geographical Objects | es_ES |
| dc.type | conference output | es_ES |
| dspace.entity.type | Publication | |
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| relation.isAuthorOfPublication.latestForDiscovery | 42f2c226-9868-4516-8efd-2cd3c6692034 |
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