Creating a spatio-temporal “Data Feed” API for a large and diverse library of historical statistics for areas within Britain

Humphrey Richard Southall, Michael John Stoner

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

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    Abstract

    The GB Historical GIS holds 14m. diverse statistical data values in a uniform structure linked to a geospatial ontology of reporting units and a domain ontology of statistical concepts. This paper describes the addition of a Linked Data API enabling programmatic access to this “big data” structure and discusses topical and spatial sub-setting.
    Original languageEnglish
    Title of host publicationGIS Research UK 2015 (GISRUK2015)
    Number of pages4
    Publication statusPublished - 7 Jun 2015
    EventGISRUK - University of Durham, Durham
    Duration: 1 Jan 2009 → …

    Conference

    ConferenceGISRUK
    CityUniversity of Durham, Durham
    Period1/01/09 → …

    Keywords

    • Social statistics
    • Open Linked Data
    • Datacube Vocabulary
    • Historical GIS
    • RCUK
    • AHRC
    • AH/L01002X/1

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