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Mixed qualitative-simulation methods: understanding geography through thick and thin

Millington, J.; Wainwright, J.

Mixed qualitative-simulation methods: understanding geography through thick and thin Thumbnail


Authors

J. Millington



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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