Future

Ideas for extending this exhibition.

Exhibition

Interactivity

• Generating network graphs, allowing dynamic clustering, visualisation, and editing

Collaboration

• Collaboration

Place

• Simulated models of place
  • Automata
  • Agent-Based Models (ABMs)
    • Agent-Based Spatial Models1

      • Traditional approaches to studying human–environment interactions often ignore individual-level information, do not account for complexities, or fail to integrate cross-scale or cross-discipline data and methods, thus, in many situations, resulting in a great loss in predictive or explanatory power. This article reports on the development, implementation, validation, and results of an agent-based spatial model that addresses such issues.

  • Individual-Based Models (IBMs)
  • Geosimulation
  • Narrative explanations of simulated models2

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Children

1. Collaboration

Footnotes

1. An, Li, Marc Linderman, Jiaguo Qi, Ashton Shortridge, and Jianguo Liu. “Exploring Complexity in a Human–Environment System: An Agent-Based Spatial Model for Multidisciplinary and Multiscale Integration.” Annals of the Association of American Geographers 95, no. 1 (2005): 54–79. https://doi.org/10.1111/j.1467-8306.2005.00450.x.˄

2. Millington, James D. A., David O’Sullivan, and George L. W. Perry. “Model Histories: Narrative Explanation in Generative Simulation Modelling.” Geoforum 43, no. 6 (2012): 1025–34. https://doi.org/10.1016/j.geoforum.2012.06.017.˄