Visual complexity analysis using taxonomic diagrams of figures and backgrounds in Japanese residential streetscapes

dc.contributor.authorGunawardena, GMWL
dc.contributor.authorKubota, Y
dc.contributor.authorFukahori, K
dc.date.accessioned2019-01-11T01:08:24Z
dc.date.available2019-01-11T01:08:24Z
dc.description.abstractThis study was conducted with the objective of finding the perceivable effect of figures and backgrounds on residential streetscapes and their connections in visual complexity. The visual complexity depends on the extent of information a viewer can observe from a visible area.The information includes a number of visual elements along the streetscapes and their diversity and interconnections. The aim of this research was to analyze the structural hierarchical visual complexity of the streetscapes, caused by varied spatial arrangement and numerous spatial connections of the perceivable visual elements.Thevisual elements of 60 residential streetscapes were classified into figures and backgrounds using human perception of 20 subjects.The identified figures and backgrounds were arranged in a taxonomic diagram representing their connections. These taxonomic diagrams reflect the structural hierarchical visual complexity. Finally, taxonomic entropywas applied to statistically analyze the structural hierarchical visual complexity.When the taxonomic diagramis vertically and horizontally lengthy and the arrangement of the elements of taxonomic diagramis irregular, the complexity increases depicting a large number of figures whose spatial connections impart a high visual complexity to the streetscapes.en_US
dc.identifier.doihttp://dx.doi.org/10.1155/2015/173862en_US
dc.identifier.journalUrban Studies Researchen_US
dc.identifier.urihttp://dl.lib.mrt.ac.lk/handle/123/13771
dc.identifier.volumevol. 2015en_US
dc.identifier.year2015en_US
dc.language.isoenen_US
dc.titleVisual complexity analysis using taxonomic diagrams of figures and backgrounds in Japanese residential streetscapesen_US
dc.typeArticle-Abstracten_US

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