How far do Dutch people live from attractive nature? An assessment using parallel computing with Python and FOSS4G libraries

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademic

    Abstract

    How valuable is living nearby nature? Does nature have a positive effect on
    nearby residential property prices? How much are we willing to pay for nature
    in our living environment, and does this amount decay with distance to nature?
    Increasing urbanization and stress on natural landscapes makes such questions
    more and more important in spatial planning. However, quantifying the value of
    public green space is challenging, especially for large study areas, because of
    the required high computing power. In a recent conference paper by Daams et
    al. (2014), over 200.000 (!) individual properties across the Netherlands were
    analyzed to give insight into the Dutch people’s willingness to pay for living
    near highly attractive public nature. Unlike existing studies of such kind, not
    only the relation between property prices and the most nearby nature, e.g.
    within 1 or 2 kilometer, was analyzed, as effects from the quantity of
    attractive
    nature up to 10 kilometers away were evaluated in the initial research process.
    That analysis required comprehensive and highly detailed spatial data, as the
    areas of the all natural land use polygons, with many vertices per feature,
    needed to be summed for each of the 200,000 properties separately. The
    required resources to do so far exceeded those that a single computer, even
    with heavy specifications, could provide. In this paper we discuss our solution
    to this problem that Daams et al. (in prep.) encountered: parallel computing
    with Python and FOSS4G libraries. More specific, we describe how we
    supported this project by specifying and applying several python scripts and
    libraries, and running these on our high performance cluster.
    Original languageEnglish
    Title of host publicationGeomatics Workbooks
    Subtitle of host publicationFOSS4G Europe Como 2015
    EditorsMaria Antonia Brovelli, Marco Minghini, Marco Negretti
    Place of PublicationComo
    PublisherLaboratorio di Geomatica - Politecnico di Milano
    Pages51-53
    Number of pages3
    Volume12
    ISBN (Electronic)1591-092X
    Publication statusPublished - 12-Jul-2015
    EventFOSS4G Europe - Politechnico di Milano, Como, Italy, Italy
    Duration: 14-Jul-201517-Jul-2015

    Conference

    ConferenceFOSS4G Europe
    Country/TerritoryItaly
    CityComo, Italy
    Period14/07/201517/07/2015

    Keywords

    • GIS
    • Nature
    • PARALLEL COMPUTING
    • Big data
    • Real estate prices

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