VR-visualization of High-dimensional Urban Data

dc.contributor.authorAl Bondakji, Louna
dc.contributor.authorChatzi, Anna-Maria
dc.contributor.authorHeidari Tabar, Minoo
dc.contributor.authorWesseler, Lisa-Marie
dc.contributor.authorWerner, Liss C.
dc.date.accessioned2018-11-23T14:47:28Z
dc.date.available2018-11-23T14:47:28Z
dc.date.issued2018
dc.description.abstractThe project aims to investigate the possibility of VR in a combination of visualizing high-dimensional urban data. Our study proposes a data-based tool for urban planners, architects, and researchers to 3D visualize and experience an urban quarter. Users have a possibility to choose a specific part of a city according to urban data input like "buildings, streets, and landscapes". This data-based tool is based on an algorithm to translate data from Shapefiles (.sh) in a form of a virtual cube model. The tool can be scaled and hence applied globally. The goal of the study is to improve understanding of the connection and analysis of high-dimensional urban data beyond a two-dimensional static graph or three-dimensional image. Professionals may find an optimized condition between urban data through abstract simulation. By implementing this tool in the early design process, researchers have an opportunity to develop a new vision for extending and optimizing urban materials.en
dc.identifier.isbn978-94-91207-16-7
dc.identifier.urihttps://depositonce.tu-berlin.de/handle/11303/8544
dc.identifier.urihttp://dx.doi.org/10.14279/depositonce-7678
dc.language.isoenen
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subject.ddc003 Systemeen
dc.subject.otherabstract urban data visualizationen
dc.subject.othervirtual realityen
dc.subject.otherGeographical Information Systemen
dc.subject.otherGISen
dc.titleVR-visualization of High-dimensional Urban Dataen
dc.typeConference Objecten
dc.type.versionpublishedVersionen
dcterms.bibliographicCitation.editorKępczyńska-Walczak, Anetta
dcterms.bibliographicCitation.editorBialkowski, Sebastian
dcterms.bibliographicCitation.number2en
dcterms.bibliographicCitation.originalpublishernameeCAADe; Lodz University of Technologyen
dcterms.bibliographicCitation.originalpublisherplaceŁódźen
dcterms.bibliographicCitation.pageend780en
dcterms.bibliographicCitation.pagestart773en
dcterms.bibliographicCitation.proceedingstitleComputing for a better tomorrow - Proceedings of the 36th eCAADe Conferenceen
tub.accessrights.dnbfreeen
tub.affiliationFak. 6 Planen Bauen Umwelt::Inst. Architektur::FG Städtebau und nachhaltige Stadtentwicklungde
tub.affiliation.facultyFak. 6 Planen Bauen Umweltde
tub.affiliation.groupFG Städtebau und nachhaltige Stadtentwicklungde
tub.affiliation.instituteInst. Architekturde
tub.publisher.universityorinstitutionTechnische Universität Berlinen

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