Mixed qualitative-simulation methods

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.

[1]  Robert L. Axtell,et al.  Population growth and collapse in a multiagent model of the Kayenta Anasazi in Long House Valley , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[2]  M. Carolan Do You See What I See? Examining the Epistemic Barriers to Sustainable Agriculture. , 2006 .

[3]  Stuart N. Lane,et al.  Constructive comments on D Massey ‘Space‐time, “science” and the relationship between physical geography and human geography:rsquo; , 2001 .

[4]  Moira L. Zellner,et al.  Embracing Complexity and Uncertainty: The Potential of Agent-Based Modeling for Environmental Planning and Policy , 2008 .

[5]  David Demeritt,et al.  From externality to inputs and interference: framing environmental research in geography , 2009 .

[6]  James D. A. Millington,et al.  Participatory evaluation of agent-based land-use models , 2011 .

[7]  M. Pavlovskaya Theorizing with GIS: A Tool for Critical Geographies? , 2006 .

[8]  Dragos Simandan,et al.  Beware of Contingency , 2010 .

[9]  Valerie J. Caracelli,et al.  Toward a Conceptual Framework for Mixed-Method Evaluation Designs , 1989 .

[10]  Sara S. Metcalf,et al.  Strategic directions for agent-based modeling: avoiding the YAAWN syndrome , 2016, Journal of land use science.

[11]  Hugh Kelley,et al.  Assessing the transition from deforestation to forest regrowth with an agent-based model of land cover change for south-central Indiana (USA) , 2008 .

[12]  Richard Kingston,et al.  Building a Spatial Microsimulation-Based Planning Support System for Local Policy Making , 2007 .

[13]  Nadine Schuurman,et al.  Formalization Matters: Critical GIS and Ontology Research , 2006 .

[14]  K. Gödel Über formal unentscheidbare Sätze der Principia Mathematica und verwandter Systeme I , 1931 .

[15]  Christophe Le Page,et al.  Co-constructing with stakeholders a role-playing game to initiate collective management of erosive runoff risks at the watershed scale , 2010, Environ. Model. Softw..

[16]  Sarah Elwood,et al.  Mixed Methods: Thinking, Doing, and Asking in Multiple Ways , 2010 .

[17]  Leilah Lyons,et al.  Modeling, learning, and planning together: An application of participatory agent-based modeling to environmental planning , 2012 .

[18]  David O'Sullivan Complexity science and human geography , 2004 .

[19]  Joshua M. Epstein,et al.  Generative Social Science , 2006 .

[20]  Andrew P. Sage,et al.  Complex adaptive systems , 2002 .

[21]  Manuel DeLanda Philosophy and Simulation: The Emergence of Synthetic Reason , 2016 .

[22]  Jason Chilvers,et al.  Deliberative and Participatory Approaches in Environmental Geography , 2009 .

[23]  Annie Waldherr,et al.  Communicating Social Simulation Models to Sceptical Minds , 2013, J. Artif. Soc. Soc. Simul..

[24]  Friedrich A. von Hayek,et al.  The Pretence of Knowledge , 1975 .

[25]  Manuel Delanda Intensive science and virtual philosophy , 2002 .

[26]  James D. Brown Knowledge, uncertainty and physical geography: towards the development of methodologies for questioning belief , 2004 .

[27]  M. Haklay,et al.  Agent-Based Models and Individualism: Is the World Agent-Based? , 2000 .

[28]  John L. Pollock Reasoning: Defeasible Reasoning , 2008 .

[29]  Olivier Barreteau,et al.  The joint use of role-playing games and models regarding negotiation processes: characterization of associations , 2003, J. Artif. Soc. Soc. Simul..

[30]  John Wainwright,et al.  Standing proud: a response to ‘Soil‐erosion models: where do we really stand?’ by Smith et al. , 2010 .

[31]  Tim Butler,et al.  Aspiration, Attainment and Success: An Agent-Based Model of Distance-Based School Allocation , 2014, J. Artif. Soc. Soc. Simul..

[32]  J. Gareth Polhill,et al.  The ODD protocol: A review and first update , 2010, Ecological Modelling.

[33]  A. Giddens The Constitution of Society , 1985 .

[34]  Eric Winsberg,et al.  Science in the Age of Computer Simulation , 2010 .

[35]  Meghan Cope,et al.  Grounded Visualization: Integrating the Analysis of Qualitative and Quantitative Data through Grounded Theory and Visualization , 2006 .

[36]  A. Sayer Method in Social Science , 1992 .

[37]  I. Benenson,et al.  Spatial Cognitive Dissonance and Sociospatial Emergence in a Self-Organizing City , 1997 .

[38]  B. Halpin Simulation in Sociology , 1999 .

[39]  N. Lewis,et al.  Performing Research Capability Building in New Zealand's Social Sciences: Capacity–Capability Insights from Exploring the Work of BRCSS's ‘sustainability’ Theme, 2004–09 , 2011 .

[40]  Mark A. Bedau The Evolution of Complexity , 2009 .

[41]  Herbert A. Simon,et al.  Models of Man: Social and Rational. , 1957 .

[42]  Andrew Crooks,et al.  Agent-based Models of Geographical Systems , 2012 .

[43]  John Wainwright,et al.  Can modelling enable us to understand the rôle of humans in landscape evolution , 2008 .

[44]  Cathy Bailey,et al.  Evaluating qualitative research: dealing with the tension between ‘science’ and ‘creativity’ , 1999 .

[45]  James Brasington,et al.  Discrete-element, individual-based and agent-based models: Tools for interdisciplinary enquiry in geography? , 2008 .

[46]  Nigel Thrift,et al.  The Place of Complexity , 1999 .

[47]  Ashton M. Shortridge,et al.  Exploring Complexity in a Human–Environment System: An Agent-Based Spatial Model for Multidisciplinary and Multiscale Integration , 2005 .

[48]  Kasper Kok,et al.  Mixed methods in land change research: towards integration , 2012 .

[49]  Joshua M. Epstein,et al.  Growing artificial societies , 1996 .

[50]  G. Box Robustness in the Strategy of Scientific Model Building. , 1979 .

[51]  T. Schelling Models of Segregation , 1969 .

[52]  David O'Sullivan,et al.  Model histories: Narrative explanation in generative simulation modelling , 2012 .

[53]  J. Portugali Complexity Theory as a Link between Space and Place , 2006 .

[54]  N. Clifford Models in geography revisited , 2008 .

[55]  Douglas Adams,et al.  Hitchhiker's Guide to the Galaxy , 1979 .

[56]  John Wainwright,et al.  Narratives of a Drought: Exploring Resilience in Kenya's Drylands , 2013, ESSA.

[57]  L. Philip,et al.  Combining Quantitative and Qualitative Approaches to Social Research in Human Geography—An Impossible Mixture? , 1998 .

[58]  Sebastian Grauwin,et al.  Dynamic Models of Residential Ségrégation: An Analytical Solution , 2010 .

[59]  A. O. Moscardini,et al.  Learning the art of mathematical modelling , 1985 .

[60]  Tran Ngoc Trung,et al.  Participatory Simulation of Land-Use Changes in the Northern Mountains of Vietnam: the Combined Use of an Agent-Based Model, a Role-Playing Game, and a Geographic Information System , 2005 .

[61]  Kurt Gödel,et al.  On Formally Undecidable Propositions of Principia Mathematica and Related Systems , 1966 .

[62]  Antonio A. Casilli,et al.  ‘‘An Ethnographic Seduction’’: How Qualitative Research and Agent-based Models can Benefit Each Other , 2010 .

[63]  S. Elwood,et al.  Qualitative GIS: A Mixed Methods Approach , 2009 .

[64]  G. Nigel Gilbert,et al.  Agent-Based Models , 2007 .

[65]  J. Wainwright,et al.  Mind, the gap in landscape‐evolution modelling , 2010 .

[66]  Edmund Chattoe-Brown,et al.  Why Sociology Should Use Agent Based Modelling , 2013 .

[67]  Simone Wannemaker,et al.  A New Philosophy Of Society Assemblage Theory And Social Complexity , 2016 .

[68]  Volker Grimm,et al.  Ecological models supporting environmental decision making: a strategy for the future. , 2010, Trends in ecology & evolution.

[69]  Patrick Taillandier,et al.  Standardised and transparent model descriptions for agent-based models: Current status and prospects , 2014, Environ. Model. Softw..

[70]  Annie S. Wu,et al.  The Current State of Normative Agent-Based Systems , 2011, J. Artif. Soc. Soc. Simul..

[71]  Sherry Turkle,et al.  The second self: computers and the human spirit , 1984 .

[72]  M. Strevens Scientific Explanation , 2005 .

[73]  S. Lane,et al.  Doing flood risk science differently: an experiment in radical scientific method , 2011 .

[74]  R. Hilborn,et al.  The Ecological Detective: Confronting Models with Data , 1997 .

[75]  John Wainwright,et al.  Agent-Based Models – Because They’re Worth It? , 2012 .

[76]  David O'Sullivan,et al.  Geographical information science: agent-based models , 2008 .

[77]  François Bousquet,et al.  Role-playing games for opening the black box of multi-agent systems: method and lessons of its application to Senegal River Valley irrigated systems , 2001, J. Artif. Soc. Soc. Simul..

[78]  A. Sayer Explanation in economic geography , 1982 .

[79]  M. Macy,et al.  FROM FACTORS TO ACTORS: Computational Sociology and Agent-Based Modeling , 2002 .

[80]  Lance J. Rips,et al.  Reasoning : studies of human inference and its foundations , 2008 .

[81]  John W. Creswell,et al.  Designing and Conducting Mixed Methods Research , 2006 .

[82]  H. M. Collins,et al.  The Third Wave of Science Studies , 2002, Science, Technology, and Society.

[83]  David Harvey,et al.  REVOLUTIONARY AND COUNTER REVOLUTIONARY THEORY IN GEOGRAPHY AND THE PROBLEM OF GHETTO FORMATION , 1972 .

[84]  Michael Agar,et al.  My Kingdom for a Function: Modeling Misadventures of the Innumerate , 2003, J. Artif. Soc. Soc. Simul..

[85]  John R. Koza,et al.  Hidden Order: How Adaptation Builds Complexity. , 1995, Artificial Life.

[86]  Birgit Müller,et al.  A standard protocol for describing individual-based and agent-based models , 2006 .

[87]  Stuart N. Lane,et al.  Coproducing Flood Risk Knowledge: Redistributing Expertise in Critical ‘Participatory Modelling’ , 2011 .

[88]  Eduardo S Brondízio,et al.  Colonist Household Decisionmaking and Land-Use Change in the Amazon Rainforest: An Agent-Based Simulation , 2004 .

[89]  Manuel DeLanda,et al.  A New Philosophy of Society , 2019 .

[90]  Bruce Edmonds,et al.  The Use of Models - Making MABS More Informative , 2000, MABS.

[91]  Joshua M. Epstein,et al.  Agent-based computational models and generative social science , 1999, Complex..