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    MODELING DAYTIME AND NIGHTTIME POPULATION DISTRIBUTIONS IN PORTUGAL USING GEOGRAPHIC INFORMATION SYSTEMS

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    umi-ku-2347_1.pdf (2.617Mb)
    Issue Date
    2007-12-20
    Author
    Freire, Sergio Carneiro
    Publisher
    University of Kansas
    Format
    120 pages
    Type
    Thesis
    Degree Level
    M.A.
    Discipline
    Geography
    Rights
    This item is protected by copyright and unless otherwise specified the copyright of this thesis/dissertation is held by the author.
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    Abstract
    Most official population censuses release a total count of residents by census area, despite the fact that the distribution of population varies widely in space and time. Increasingly, better spatial representation of population distributions are required for many applications, especially at the local scale. Combining available statistical and physiographic data sets, a dasymetric interpolation approach was developed and tested to produce 2001 spatio-temporal representations of population distributions for the municipalities of Cascais and Oeiras in Portugal. This model was implemented within a geographic information system using streets as a spatial basis to allocate population. For each municipality, digital raster maps of nighttime, daytime, daytime residential, daytime worker and student, total daytime, and ambient population densities were produced at high spatial resolution. Quality assessment procedures confirmed that the method suits the objectives. However, the accuracy of results is mostly dependent on the quality of input data sets.
    URI
    http://hdl.handle.net/1808/3978
    Collections
    • Geography & Atmospheric Science Dissertations and Theses [184]
    • Theses [3828]

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    785-864-8983
    KU Libraries
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    785-864-8983

    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
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    Contact KU ScholarWorks
    785-864-8983
    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
    785-864-8983

    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
    Image Credits
     

     

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