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A new tool based on artificial intelligence and GIS for preventive conservation of heritage buildings

dc.contributor.editorFormisano, A.es
dc.contributor.editorIndirli, M.es
dc.contributor.editorPaolella, G.es
dc.contributor.editorDobran, Flavioes
dc.creatorMartín, J. M.es
dc.creatorPrieto Ibáñez, Andrés Josées
dc.creatorRomero, A.es
dc.creatorOrtiz, R.es
dc.creatorMacías Bernal, Juan Manueles
dc.creatorOrtiz, P.es
dc.creatorCagigas Muñiz, Danieles
dc.date.accessioned2020-07-06T16:06:20Z
dc.date.available2020-07-06T16:06:20Z
dc.date.issued2019
dc.identifier.citationMartín, J.M., Prieto, A.J., Romero, A., Ortiz, R., Macías Bernal, J.M., Ortiz, P. y Cagigas Muñiz, D. (2019). A new tool based on artificial intelligence and GIS for preventive conservation of heritage buildings. En International Conference: Resilience and Sustainability of Cities in Hazardous Environments (326-331), Nápoles: GVES.
dc.identifier.isbn9788890318313es
dc.identifier.urihttps://hdl.handle.net/11441/98875
dc.description.abstractThis paper describes a new predictive model for preventive conservation of buildings. It allows for multiscenarios of several hazards, assessments of environmental risks, and the use level of buildings together with cultural val-ues of monuments. This modeling approach is based on fuzzy logic and geographic information system available to organizations dedicated to the restoration and rehabilitation in Spain. This system has a transversal development that includes urban, architectural, cultural heritage value, and the analysis of environmental and sociodemographic situations around the monuments. This new tool allows for decision making based on scientific criteria and minimizes risklosses of cultural assetses
dc.formatapplication/pdfes
dc.format.extent6es
dc.language.isoenges
dc.publisherGVESes
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectHazardes
dc.subjectVulnerabilityes
dc.subjectPreventive conservationes
dc.subjectArtificiales
dc.subjectIntelligencees
dc.subjectGISes
dc.subjectHeritage buildinges
dc.titleA new tool based on artificial intelligence and GIS for preventive conservation of heritage buildingses
dc.typeinfo:eu-repo/semantics/conferenceObjectes
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/publishedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Construcciones Arquitectónicas II (ETSIE)es
dc.relation.publisherversionhttp://congress.gvess.org/downloads/Resilience_and_Sustainability_of_Cities_in_Hazardous_Environments.pdfes
dc.publication.initialPage326es
dc.publication.endPage331es
dc.eventtitleInternational Conference: Resilience and Sustainability of Cities in Hazardous Environmentses
dc.eventinstitutionNápoleses
dc.relation.publicationplaceNápoleses
dc.identifier.sisius21820171es

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