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dc.contributor.authorAllahverdi, Kamyaren_US
dc.contributor.authorDjavaherpour, Hessamen_US
dc.contributor.authorMahdavi-Amiri, Alien_US
dc.contributor.authorSamavati, Faramarzen_US
dc.contributor.editorJeffrey Heer and Heike Leitte and Timo Ropinskien_US
dc.date.accessioned2018-06-02T18:09:17Z
dc.date.available2018-06-02T18:09:17Z
dc.date.issued2018
dc.identifier.issn1467-8659
dc.identifier.urihttp://dx.doi.org/10.1111/cgf.13432
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf13432
dc.description.abstractLandscape models of geospatial regions provide an intuitive mechanism for exploring complex geospatial information. However, the methods currently used to create these scale models require a large amount of resources, which restricts the availability of these models to a limited number of popular public places, such as museums and airports. In this paper, we have proposed a system for creating these physical models using an affordable 3D printer in order to make the creation of these models more widely accessible. Our system retrieves GIS relevant to creating a physical model of a geospatial region and then addresses the two major limitations of affordable 3D printers, namely the limited number of materials and available printing volume. This is accomplished by separating features into distinct extruded layers and splitting large models into smaller pieces, allowing us to employ different methods for the visualization of different geospatial features, like vegetation and residential areas, in a 3D printing context. We confirm the functionality of our system by printing two large physical models of relatively complex landscape regions.en_US
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectComputing methodologies
dc.subjectComputer graphics
dc.titleLandscaper: A Modeling System for 3D Printing Scale Models of Landscapesen_US
dc.description.seriesinformationComputer Graphics Forum
dc.description.sectionheadersVR and Workflows
dc.description.volume37
dc.description.number3
dc.identifier.doi10.1111/cgf.13432
dc.identifier.pages439-451


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  • 37-Issue 3
    EuroVis 2018 - Conference Proceedings

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