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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