Space Matters: Extending Sensitivity Analysis to Initial Spatial Conditions in Geosimulation Models

Juste Raimbault, Clémentine Cottineau, Marion Le Texier, Florent Le Nechet, Romain Reuillon
2019 Journal of Artificial Societies and Social Simulation  
Although simulation models of socio-spatial systems in general and agent-based models in particular represent a fantastic opportunity to explore socio-spatial behaviours and to test a variety of scenarios for public policy, the validity of generative models is uncertain unless their results are proven robust and representative of 'real-world' conditions. Sensitivity analysis usually includes the analysis of the e ect of stochasticity on the variability of results, as well as the e ects of small
more » ... parameter changes. However, initial spatial conditions are usually not modified systematically in socio-spatial models, thus leaving unexplored the e ect of initial spatial arrangements on the interactions of agents with one another as well as with their environment. In this article, we present a method to assess the e ect of variation of some initial spatial conditions on simulation models, using a systematic geometric structures generator in order to create density grids with which socio-spatial simulation models are initialised. We show, with the example of two classical agent-based models (Schelling's model of segregation and Sugarscape's model of unequal societies) and a straightforward open-source workflow using high performance computing, that the e ect of initial spatial arrangements is significant on the two models. We wish to illustrate the potential interest of adding spatial sensitivity analysis during the exploration of models for both modellers and thematic specialists.
doi:10.18564/jasss.4136 fatcat:6q5j5y2errcijadmpaeo5bykb4