Departmental Research Projects
Publication detailsMillington, J. & Wainwright, J. Mixed qualitative-simulation methods: understanding geography through thick and thin. Progress in Human Geography. 2017;41:68-88.
- Publication type: Journal Article
- ISSN/ISBN: 0309-1325, 1477-0288
- DOI: 10.1177/0309132515627021
- Keywords: Agent-based model, Explanation, Modelling, Mixed methods, Simulation.
- Further publication details on publisher web site
- Durham Research Online (DRO) - may include full text
Author(s) from Durham
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.