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Extending general compact querieable representations to GIS applications
dc.contributor.author | Brisaboa, Nieves R. | |
dc.contributor.author | Cerdeira-Pena, Ana | |
dc.contributor.author | Bernardo, Guillermo de | |
dc.contributor.author | Navarro, Gonzalo | |
dc.contributor.author | Pedreira, Óscar | |
dc.date.accessioned | 2023-12-18T13:06:14Z | |
dc.date.available | 2023-12-18T13:06:14Z | |
dc.date.issued | 2020-01 | |
dc.identifier.citation | Brisaboa, N.R., Cerdeira-Pena, A., de Bernardo, G., Navarro, G., Pedreira, Ó., 2020. Extending general compact querieable representations to GIS applications. Information Sciences 506, 196–216. https://doi.org/10.1016/j.ins.2019.08.007 | es_ES |
dc.identifier.issn | 0020-0255 | |
dc.identifier.uri | http://hdl.handle.net/2183/34532 | |
dc.description | © 2020. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/. This version of the article “Brisaboa, N.R., Cerdeira-Pena, A., de Bernardo, G., Navarro, G., Pedreira, Ó., 2020. Extending general compact querieable representations to GIS applications. Information Sciences 506, 196–216” has been accepted for publication in Information Sciences. The Version of Record is available online at https://doi.org/10.1016/j.ins.2019.08.007 | es_ES |
dc.description.abstract | [Abstract]: The raster model is commonly used for the representation of images in many domains, and is especially useful in Geographic Information Systems (GIS) to store information about continuous variables of the space (elevation, temperature, etc.). Current representations of raster data are usually designed for external memory or, when stored in main memory, lack efficient query capabilities. In this paper we propose compact representations to efficiently store and query raster datasets in main memory. We present different representations for binary raster data, general raster data and time-evolving raster data. We experimentally compare our proposals with traditional storage mechanisms such as linear quadtrees or compressed GeoTIFF files. Results show that our structures are up to 10 times smaller than classical linear quadtrees, and even comparable in space to non-querieable representations of raster data, while efficiently answering a number of typical queries. | es_ES |
dc.description.sponsorship | Partially funded by: IMFD; Xunta de Galicia/FEDER-UE grants CSI:ED431G/01 and GRC:ED431C 2017/58; Xunta de Galicia/FEDER-UE, ConectaPeme grant GEMA: IN852A 2018/14; Xunta de Galicia/GAIN grant Innovapeme: IN848D-2017-2350417; by MINECO-AEI/FEDER-UE grants Flatcity: TIN2016-77158-C4-3-R, Datos 4.0: TIN2016-78011-C4-1-R and ETOME-RDFD3: TIN2015-69951-R; MICINN-AEI/FEDER-UE grants Steps: RTC-2017-5908-7 and BIZDEVOPS: RTI2018- 098309-B-C32; and EU H2020 MSCA RISE BIRDS: 690941. An early partial version of this article appeared in Proc SPIRE’13. Some parts of this work also appeared in G. de Bernardo’s PhD thesis. | es_ES |
dc.description.sponsorship | Xunta de Galicia; ED431G/01 | es_ES |
dc.description.sponsorship | Xunta de Galicia; ED431C 2017/58 | es_ES |
dc.description.sponsorship | Xunta de Galicia; IN852A-2018/14 | es_ES |
dc.description.sponsorship | Xunta de Galicia; IN848D-2017-2350417 | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Elsevier | es_ES |
dc.relation | info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/TIN2015-69951-R/ES/ETIQUETADO DE TRAYECTORIAS DE OBJETOS MOVILES PARA SU EXPLOTACION EFICIENTE EN RDF DATA CUBE COMPRIMIDO | es_ES |
dc.relation | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/TIN2016-78011-C4-1-R/ES/DATOS 4.0: RETOS Y SOLUCIONES | es_ES |
dc.relation | info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/TIN2016-77158-C4-2-R/ES/3D ROUTE MODELING FOR FLATCITY | es_ES |
dc.relation | info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/TIN2016-77158-C4-1-R/ES/ANALYTICS USING SENSOR DATA FOR FLATCITY | es_ES |
dc.relation | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTC-2017-5908-7/ES/STEPS. SOLUCIONES TECNOLÓGICAS PARA LA EVOLUCIÓN EN LA PRESTACIÓN DE SERVICIOS EN CAMPO/ | es_ES |
dc.relation | 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.uri | https://doi.org/10.1016/j.ins.2019.08.007 | es_ES |
dc.rights | Atribución-NoComercial-SinDerivadas 3.0 España | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ | * |
dc.subject | Compact data structures | es_ES |
dc.subject | Querying raster data | es_ES |
dc.subject | Geographic information systems | es_ES |
dc.title | Extending general compact querieable representations to GIS applications | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.rights.access | info:eu-repo/semantics/openAccess | es_ES |
UDC.journalTitle | Information Sciences | es_ES |
UDC.volume | 506 | es_ES |
UDC.startPage | 196 | es_ES |
UDC.endPage | 216 | es_ES |
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