J. Millington
Mixed qualitative-simulation methods: understanding geography through thick and thin
Millington, J.; Wainwright, J.
Abstract
Across geography there has been variable engagement with the use of simulation and agent-based modelling. We argue that agent-based simulation provides a complementary method to investigate geographical issues which need not be used in ways that are epistemologically different in kind from some other approaches in contemporary geography. We propose mixed qualitative-simulation methods that iterate back-and-forth between ‘thick’ (qualitative) and ‘thin’ (simulation) approaches and between the theory and data they produce. These mixed methods accept simulation modelling as process and practice; a way of using computers with concepts and data to ensure social theory remains embedded in day-to-day geographical thinking.
Citation
Millington, J., & Wainwright, J. (2017). Mixed qualitative-simulation methods: understanding geography through thick and thin. Progress in Human Geography, 41(1), 68-88. https://doi.org/10.1177/0309132515627021
Journal Article Type | Article |
---|---|
Acceptance Date | Dec 21, 2015 |
Online Publication Date | Feb 4, 2016 |
Publication Date | Feb 1, 2017 |
Deposit Date | Feb 11, 2016 |
Publicly Available Date | Feb 12, 2016 |
Journal | Progress in Human Geography |
Print ISSN | 0309-1325 |
Electronic ISSN | 1477-0288 |
Publisher | SAGE Publications |
Peer Reviewed | Peer Reviewed |
Volume | 41 |
Issue | 1 |
Pages | 68-88 |
DOI | https://doi.org/10.1177/0309132515627021 |
Keywords | Agent-based model, Explanation, Modelling, Mixed methods, Simulation. |
Public URL | https://durham-repository.worktribe.com/output/1412326 |
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Copyright Statement
This article is distributed under the terms of the Creative Commons Attribution 3.0 License (http://www.creativecommons.org/licenses/by/3.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
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