Efficient Multiscale Representations for Geographical Objects

UDC.coleccionInvestigaciónes_ES
UDC.conferenceTitle19th International Symposium on Web and Wireless Geographical Information Systems (W2GIS 2022)es_ES
UDC.departamentoCiencias da Computación e Tecnoloxías da Informaciónes_ES
UDC.grupoInvLaboratorio de Bases de Datos (LBD)es_ES
UDC.journalTitleLecture Notes in Computer Sciencees_ES
UDC.volume13238es_ES
dc.contributor.authorBrisaboa, Nieves R.
dc.contributor.authorCortiñas, Alejandro
dc.contributor.authorGutiérrez-Asorey, Pablo
dc.contributor.authorVarela Rodeiro, Tirso
dc.contributor.authorRodríguez Luaces, Miguel
dc.date.accessioned2024-12-02T10:20:41Z
dc.date.available2024-12-02T10:20:41Z
dc.date.issued2022-05-19
dc.descriptionThe congress was held in Constance, Germany, April 28–29es_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.sponsorshipThis 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.sponsorshipXunta de Galicia; ED431G 2019/01es_ES
dc.description.sponsorshipXunta de Galicia; ED431C 2021/53es_ES
dc.identifier.citationBrisaboa, 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_7es_ES
dc.identifier.isbn978-3-031-06244-5
dc.identifier.isbn978-3-031-06245-2
dc.identifier.issn1611-3349
dc.identifier.issn0302-9743
dc.identifier.urihttp://hdl.handle.net/2183/40443
dc.language.isoenges_ES
dc.publisherSpringer Naturees_ES
dc.relation.projectIDinfo: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 GLOBALes_ES
dc.relation.projectIDinfo: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.projectIDinfo: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.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PDC2021-120917-C21/ES/SIGTRANSes_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PDC2021-121239-C31/ES/FLATCITY-POCes_ES
dc.relation.urihttps://doi.org/10.1007/978-3-031-06245-2_7es_ES
dc.rights© 2022 Springer Nature Switzerland AGes_ES
dc.rights.accessRightsopen accesses_ES
dc.subjectCartographic generalizationes_ES
dc.subjectCompressiones_ES
dc.subjectGeographical information systemses_ES
dc.titleEfficient Multiscale Representations for Geographical Objectses_ES
dc.typeconference outputes_ES
dspace.entity.typePublication
relation.isAuthorOfPublication42f2c226-9868-4516-8efd-2cd3c6692034
relation.isAuthorOfPublicationb3a38854-c246-4602-bc81-fc43d485f749
relation.isAuthorOfPublication414d8eb4-517c-4ac4-a528-c69c7984acee
relation.isAuthorOfPublicationba377c82-883d-4ed6-8700-a3d45ff9af17
relation.isAuthorOfPublicationfbde3bd9-d786-4ef0-89ec-6af2091fa415
relation.isAuthorOfPublication.latestForDiscovery42f2c226-9868-4516-8efd-2cd3c6692034

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Brisaboa_Nieves_2022_efficient_multi_repre_geographical_objects.pdf
Size:
618.66 KB
Format:
Adobe Portable Document Format
Description:
Accepted Manuscript