Singleton, AD;
Longley, PA;
(2019)
Data infrastructure requirements for new geodemographic classifications: The example of London's workplace zones.
Applied Geography
, 109
, Article 102038. 10.1016/j.apgeog.2019.102038.
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Abstract
In recent years a mix of Open Data and commercial sources have been used to build geodemographic classifications of neighbourhoods. In this paper we argue that geodemographics are coming to embody new thinking about the emergent mixed Big Data economy. This has implications for openness and full scientific reproducibility of classifications, as well as the engagement of stakeholders in the process of building classifications. We propose and implement an operational framework for blending open and other data sources that can stimulate development of classifications that are more timely and data rich yet sufficiently open to peer scrutiny. We illustrate these ideas and challenges by describing the creation and content of the London Workplace Zone Classification.
| Type: | Article |
|---|---|
| Title: | Data infrastructure requirements for new geodemographic classifications: The example of London's workplace zones |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1016/j.apgeog.2019.102038 |
| Publisher version: | https://doi.org/10.1016/j.apgeog.2019.102038 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Geodemographics; Open Data; Consumer Data; Workplace Zone; London |
| UCL classification: | UCL 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/10080190 |
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