Representing Urban Phenomena in Their Context and at Different LoD: from Raw Data to Appropriate LoD

dc.contributor.authorPham, Haen_US
dc.contributor.authorRuas, A.en_US
dc.contributor.authorLibourel, T.en_US
dc.contributor.editorFilip Biljecki and Vincent Tourreen_US
dc.date.accessioned2015-11-22T09:34:58Z
dc.date.available2015-11-22T09:34:58Z
dc.date.issued2015en_US
dc.description.abstractMore than half of the world population lives in cities today. This proportion rises to 80% in developed countries. The density of urban population causes environmental troubles such as noise, urban heat waves, and chemical pollutions or magnetic pollution. Sensors and models are used to improve knowledge related to these phenomena particularly in cities. The aim of our research is to propose methods to view these phenomena in contextualised ways and at different levels of details. In the context of data exploration, we wish to generate from the initial phenomena data other levels of detail to allow the visual perception of the information at different visual scale. We also propose symbols that resist as well as possible to scale change and without excessive covering the other information such as streets, buildings or names. The first solutions presented in this paper are implemented and illustrated through two examples: nocturne temperature in Paris with very sparse initial data and concentration of chlorine with very dense initial data.en_US
dc.description.sectionheadersDynamic Phenomenonaen_US
dc.description.seriesinformationEurographics Workshop on Urban Data Modelling and Visualisationen_US
dc.identifier.doi10.2312/udmv.20151346en_US
dc.identifier.isbn978-3-905674-80-4en_US
dc.identifier.issn2307-8251en_US
dc.identifier.pages31-36en_US
dc.identifier.urihttps://doi.org/10.2312/udmv.20151346en_US
dc.publisherThe Eurographics Associationen_US
dc.subjecturban phenomena mappingen_US
dc.subjectmultien_US
dc.subjectscaleen_US
dc.subjectLoDen_US
dc.subjectmultiple representationsen_US
dc.subjectgeneralizationen_US
dc.subjectinterpolationen_US
dc.subjectsemioticsen_US
dc.titleRepresenting Urban Phenomena in Their Context and at Different LoD: from Raw Data to Appropriate LoDen_US
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