Please use this identifier to cite or link to this item: http://repositorio.inesctec.pt/handle/123456789/6245
Title: Towards a Conceptual Framework for Classifying Visualisations of Data from Urban Mobility Services
Authors: Thiago Sobral
Teresa Galvão
José Luís Borges
Issue Date: 2015
Abstract: Urban mobility services generate massive amounts of raw data that are usually not explored in depth by the entities that own them. Visualisation techniques could improve knowledge extraction and decision-making, as well as support the reengineering of those services. Some studies in Information Visualisation provide a domain-independent classification for visualisations based on their own characteristics and the data they support, although independent of their context of use. We propose a classification for visualisations of urban mobility data according to their context of use and their characteristics. Our first results are encouraging and are supported by a user-centred design process carried with urban mobility experts, in which we developed and evaluated a set of visualisation prototypes. The conclusions form a first effort towards a conceptual framework proposal for classifying visualisations of this domain, and are expected to guide researchers and practitioners searching for adequate ways to visually represent their data.
URI: http://repositorio.inesctec.pt/handle/123456789/6245
http://dx.doi.org/10.1007/978-3-319-14980-6_18
metadata.dc.type: conferenceObject
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Appears in Collections:CEGI - Articles in International Conferences

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