2017
DOI: 10.1016/j.compenvurbsys.2017.08.008
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Automated generation of versatile data model for analyzing urban architectural void

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Cited by 9 publications
(3 citation statements)
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“…Metzer, 2006). However, what clearly emerged is that the concept of void covers a large spectrum, with tangible and intangible features at each extremity, well summarised by Sileryte et al. (2017): “Urban architectural void is a three-dimensional continuous space in between physical and perceptual limits, both explicit and implicit, that emerge in urban environments.” (p. 3).…”
Section: Methods and Definitionsmentioning
confidence: 99%
“…Metzer, 2006). However, what clearly emerged is that the concept of void covers a large spectrum, with tangible and intangible features at each extremity, well summarised by Sileryte et al. (2017): “Urban architectural void is a three-dimensional continuous space in between physical and perceptual limits, both explicit and implicit, that emerge in urban environments.” (p. 3).…”
Section: Methods and Definitionsmentioning
confidence: 99%
“…References [135,136] report a model to subdivide continuous urban spaces into convex and solid voids (3D volumes) for analysis and classification based on physical measures, in which outdoor is roughly classified as urban void and the subdivision procedure is conducted based on convex polygon. Reference [137] proposes a versatile data model for analysing urban architectural void, in which space compartmentalization is conducted based on Gestalt theory and its model can be rendered both as a 2D and 3D representation.…”
Section: Examples Of Space Geometric Representationsmentioning
confidence: 99%
“…Beirão, Chaszar, and Cavić () and Beirão, Chaszar, and Ljiljana () report a model to subdivide continuous urban spaces into convex and solid voids (3D volumes) for analysis and classification based on physical measures, in which outdoor space is roughly classified as urban void and the subdivision procedure is conducted based on convex polygons only. Sileryte, Cavic, and Beirao () propose a versatile data model for analyzing urban architectural voids, in which space compartmentalization is conducted based on gestalt theory. However, it is also not sufficient for navigation use, because: (a) the space is subdivided by using geometric tricks only; and (b) subspaces are also represented in 2D.…”
Section: Related Workmentioning
confidence: 99%