UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Using Big Data to Measure the Demographic Changes in a Gentrifying Neighbourhood

Lansley, G; Li, W; Longley, P; (2019) Using Big Data to Measure the Demographic Changes in a Gentrifying Neighbourhood. In: Proceedings of the 27th GIS Research UK (GISRUK) Conference. GIS Research UK (GISRUK): Newcastle, UK. Green open access

[thumbnail of GISRUK 2019 Lansley.pdf]
Preview
Text
GISRUK 2019 Lansley.pdf - Published Version

Download (853kB) | Preview

Abstract

This paper presents the use of a micro-level population dataset constructed from linked administrative and consumer data to model the local demographic changes that have occurred in a given area. The constituents of this database derive from 20 years of linked electoral registers and consumer datasets which when amalgamated represent the vast majority of the adult population. While the component data inputs only include dates, names and addresses, this paper shall demonstrate that a range of novel data linkage exercises can reveal local population trends that were otherwise unavailable from traditional data sources.

Type: Proceedings paper
Title: Using Big Data to Measure the Demographic Changes in a Gentrifying Neighbourhood
Event: Geographic Information Science Research UK
Location: Newcastle
Dates: 23 April 2019 - 26 April 2019
Open access status: An open access version is available from UCL Discovery
Publisher version: http://www.newcastle.gisruk.org/proceedings/
Language: English
Additional information: This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL SLASH
UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of S&HS
UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of S&HS > Dept of Geography
URI: https://discovery.ucl.ac.uk/id/eprint/10075521
Downloads since deposit
143Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item