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Towards the automatic selection of moving regions representation methods

2020-11Conference paper Open access
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datacite.subject.sdg08:Trabalho Digno e Crescimento Económico
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
datacite.subject.sdg10:Reduzir as Desigualdades
dc.contributor.authorCosta, Rogério Luís C.
dc.contributor.authorMiranda, Enrico
dc.contributor.authorMoreira, José
dc.date.accessioned2025-07-16T09:13:51Z
dc.date.available2025-07-16T09:13:51Z
dc.date.issued2020-11
dc.descriptionConference code - 164497
dc.description.abstractMoving region is an abstraction used to represent the spatio-temporal behavior of real-world phenomena in database systems. The most common approach to model moving regions uses geometries to represent their position and shape at different times (observations), and interpolation functions to generate the evolution of the geometries between observations. Several region interpolation methods have been proposed in the databases literature, but as there is no suitable method for all use cases, users must select the most adequate algorithm to represent each region by visual inspection. This can be infeasible when dealing with large datasets. This paper presents the first steps towards a system that suggests which methods (and configurations) can generate representations fitting the requirements of a particular application. It includes an abstract specification of user-defined rules on the spatio-temporal evolution of moving regions to assess the suitability of region interpolation functions, a discussion on optimization strategies for efficient implementation of the rules and illustrative examples using real-world data to show how to use this approach to select the best methods to represent a spatio-temporal phenomena.eng
dc.description.sponsorshipThis work is partially funded by National Funds through the FCT (Foundation for Science and Technology) in the context of the projects UIDB/04524/2020, UID/CEC/00127/2013 and POCI-01-0145-FEDER-032636.
dc.identifier.citationRogério Luís C. Costa, Enrico Miranda, and José Moreira. 2020. Towards the Automatic Selection of Moving Regions Representation Methods. In 3rd ACM SIGSPATIAL International Workshop on GeoSpatial Simulation (GeoSim’20), November 3–6, 2020, Seattle, WA, USA. ACM, New York, NY, USA, 4 pages. https://doi.org/10.1145/3423335.3428170.
dc.identifier.doi10.1145/3423335.3428170
dc.identifier.isbn978-1-4503-8161-1
dc.identifier.urihttp://hdl.handle.net/10400.8/13664
dc.language.isoeng
dc.peerreviewedyes
dc.publisherAssociation for Computing Machinery (ACM)
dc.relationResearch Center in Informatics and Communications
dc.relationInstitute of Electronics and Informatics Engineering of Aveiro
dc.relation.hasversionhttps://dl.acm.org/doi/10.1145/3423335.3428170
dc.relation.ispartofProceedings of the 3rd ACM SIGSPATIAL International Workshop on GeoSpatial Simulation
dc.rights.uriN/A
dc.subjectSpatio-temporal data
dc.subjectcontinuous representation
dc.subjectmoving regions
dc.titleTowards the automatic selection of moving regions representation methodseng
dc.typeconference paper
dspace.entity.typePublication
oaire.awardTitleResearch Center in Informatics and Communications
oaire.awardTitleInstitute of Electronics and Informatics Engineering of Aveiro
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04524%2F2020/PT
oaire.awardURIhttp://hdl.handle.net/10400.8/13663
oaire.citation.conferenceDate2020-11
oaire.citation.conferencePlaceSeattle, Washington, USA
oaire.citation.titleProceedings of the 3rd ACM SIGSPATIAL International Workshop on GeoSpatial Simulation, GeoSim 2020
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNamede Carvalho Costa
person.givenNameRogério Luís
person.identifier.ciencia-id7717-9573-0C0F
person.identifier.orcid0000-0003-2306-7585
person.identifier.ridA-7940-2016
person.identifier.scopus-author-id7801604983
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
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relation.isAuthorOfPublication.latestForDiscovery5654d934-3fa0-4afb-9b3b-f2736104924c
relation.isProjectOfPublication67435020-fe0d-4b46-be85-59ee3c6138c7
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relation.isProjectOfPublication.latestForDiscovery67435020-fe0d-4b46-be85-59ee3c6138c7

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Moving region is an abstraction used to represent the spatio-temporal behavior of real-world phenomena in database systems. The most common approach to model moving regions uses geometries to represent their position and shape at different times (observations), and interpolation functions to generate the evolution of the geometries between observations. Several region interpolation methods have been proposed in the databases literature, but as there is no suitable method for all use cases, users must select the most adequate algorithm to represent each region by visual inspection. This can be infeasible when dealing with large datasets. This paper presents the first steps towards a system that suggests which methods (and configurations) can generate representations fitting the requirements of a particular application. It includes an abstract specification of user-defined rules on the spatio-temporal evolution of moving regions to assess the suitability of region interpolation functions, a discussion on optimization strategies for efficient implementation of the rules and illustrative examples using real-world data to show how to use this approach to select the best methods to represent a spatio-temporal phenomena.
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