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dc.contributor.advisorEran Ben-Joseph.en_US
dc.contributor.authorKennedy, Stephen James, M.C.P. Massachusetts Institute of Technologyen_US
dc.contributor.otherMassachusetts Institute of Technology. Dept. of Urban Studies and Planning.en_US
dc.date.accessioned2012-10-10T15:48:24Z
dc.date.available2012-10-10T15:48:24Z
dc.date.copyright2012en_US
dc.date.issued2012en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/73818
dc.descriptionThesis (M.C.P.)--Massachusetts Institute of Technology, Dept. of Urban Studies and Planning, 2012.en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (p. 122-124).en_US
dc.description.abstractInformation visualizations, especially those utilizing web-based platforms, are becoming an increasingly common medium for exchanging ideas. This emergent class of tools enabling web-based, interactive platforms for visualizing data should be considered by urban planners and designers as an opportunity to create new modes of disseminating and communicating information. This thesis provides an overview of new visualization tools: how they are being developed and combined, their applications, and their potential future uses. It also explores the implications of such tools in contexts where technology is not yet mainstream. This is illustrated through a case study of using mobile phones to gather data on the bus system in Dhaka, Bangladesh. The research draws from literature written on critical cartography, visualization, and visual culture in urban design and planning. The work first develops a best practices workflow of existing and emerging visualization tools and platforms. It then constructs prototypes of products for various audiences that illustrate the outputs of data collected on Dhaka's bus system, showcasing the potentials of these new tools and platforms.en_US
dc.description.statementofresponsibilityby Stephen James Kennedy.en_US
dc.format.extent124 p.en_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectUrban Studies and Planning.en_US
dc.titleTransforming big data into knowledge : experimental techniques in dynamic visualizationen_US
dc.typeThesisen_US
dc.description.degreeM.C.P.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Urban Studies and Planning
dc.identifier.oclc811339144en_US


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