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

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

University of Portsmouth Ageing Network

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	GIS Research UK 2015 (GISRUK2015)
Number of pages	4
Publication status	Published - 7 Jun 2015
Event	GISRUK - University of Durham, Durham Duration: 1 Jan 2009 → …

Conference

Conference	GISRUK
City	University of Durham, Durham
Period	1/01/09 → …

Keywords

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

Access to Document

GISRUK_2015_API_Paper_June_2015Accepted author manuscript (Post-print), 475 KBLicence: CC BY

Frameworks and tools for statistical big data in the humanities
Southall, H., Aucott, P., Stoner, M. & Westwood, J.
1/01/14 → 31/03/15
Project: Research

Cite this

@inproceedings{bb8280ec1f7e432a9ec3729bfebcc53e,

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

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.",

keywords = "Social statistics, Open Linked Data, Datacube Vocabulary, Historical GIS, RCUK, AHRC, AH/L01002X/1",

author = "Southall, {Humphrey Richard} and Stoner, {Michael John}",

year = "2015",

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AU - Stoner, Michael John

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N2 - 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.

AB - 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.

KW - Social statistics

KW - Open Linked Data

KW - Datacube Vocabulary

KW - Historical GIS

KW - RCUK

KW - AHRC

KW - AH/L01002X/1

M3 - Conference contribution

BT - GIS Research UK 2015 (GISRUK2015)

T2 - GISRUK

Y2 - 1 January 2009

ER -

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

Abstract

Conference

Keywords

Access to Document

Fingerprint

Projects

Frameworks and tools for statistical big data in the humanities

Cite this