Space Matters: Extending Sensitivity Analysis to Initial Spatial Conditions in Geosimulation Models
| Autor: | Florent Le Néchet, Marion Le Texier, Clémentine Cottineau, Romain Reuillon, Juste Raimbault |
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| Přispěvatelé: | Center for Advanced Spatial Analysis, UCL, University College of London [London] (UCL), Institut des Systèmes Complexes - Paris Ile-de-France (ISC-PIF), Centre National de la Recherche Scientifique (CNRS)-Institut Curie [Paris]-Sorbonne Université (SU)-École polytechnique (X)-École normale supérieure - Cachan (ENS Cachan)-Université Paris 1 Panthéon-Sorbonne (UP1), Géographie-cités (GC (UMR_8504)), Université Paris 1 Panthéon-Sorbonne (UP1)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Université Paris 1 Panthéon-Sorbonne - UFR Géographie (UP1 UFR08), Université Paris 1 Panthéon-Sorbonne (UP1), Université du Luxembourg (Uni.lu), Laboratoire Ville, Mobilité, Transport (LVMT ), École des Ponts ParisTech (ENPC)-Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR)-Université Paris-Est Marne-la-Vallée (UPEM), École normale supérieure - Cachan (ENS Cachan)-Université Paris 1 Panthéon-Sorbonne (UP1)-Université Paris-Sud - Paris 11 (UP11)-Université Pierre et Marie Curie - Paris 6 (UPMC)-École polytechnique (X)-Institut Curie [Paris]-Centre National de la Recherche Scientifique (CNRS), École normale supérieure - Cachan (ENS Cachan)-Université Paris 1 Panthéon-Sorbonne (UP1)-École polytechnique (X)-Institut Curie [Paris]-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR)-Université Paris-Est Marne-la-Vallée (UPEM)-École des Ponts ParisTech (ENPC) |
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
FOS: Computer and information sciences
Mathematical optimization Physics - Physics and Society 010504 meteorology & atmospheric sciences Computer science FOS: Physical sciences Variation (game tree) Physics and Society (physics.soc-ph) PARIS team 010501 environmental sciences Sugarscape [INFO.INFO-DM]Computer Science [cs]/Discrete Mathematics [cs.DM] 01 natural sciences [QFIN.CP]Quantitative Finance [q-fin]/Computational Finance [q-fin.CP] [STAT.ML]Statistics [stat]/Machine Learning [stat.ML] Computer Science (miscellaneous) Computer Science - Multiagent Systems [NLIN.NLIN-CG]Nonlinear Sciences [physics]/Cellular Automata and Lattice Gases [nlin.CG] Sensitivity (control systems) [NLIN.NLIN-AO]Nonlinear Sciences [physics]/Adaptation and Self-Organizing Systems [nlin.AO] 0105 earth and related environmental sciences ACL Simulation modeling General Social Sciences [SHS.GEO]Humanities and Social Sciences/Geography Supercomputer Variety (cybernetics) Workflow [INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA] [NLIN.NLIN-CD]Nonlinear Sciences [physics]/Chaotic Dynamics [nlin.CD] [SDE.BE]Environmental Sciences/Biodiversity and Ecology Generator (mathematics) Multiagent Systems (cs.MA) |
| Zdroj: | Journal of Artificial Societies and Social Simulation Journal of Artificial Societies and Social Simulation, SimSoc Consortium, 2019, 22 (4), ⟨10.18564/jasss.4136⟩ |
| ISSN: | 1460-7425 |
| DOI: | 10.18564/jasss.4136⟩ |
| Popis: | Although simulation models of geographical 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 effect of stochasticity on the variability of results, as well as the effects of small parameter changes. However, initial spatial conditions are usually not modified systematically in geographical models, thus leaving unexplored the effect of initial spatial arrangements on the interactions of agents with one another as well as with their environment. In this paper, we present a method to assess the effect of some initial spatial conditions on simulation models, using a systematic spatial configuration generator in order to create density grids with which spatial simulation models are initialised. We show, with the example of two classical agent-based models (Schelling's models of segregation and Sugarscape's model of unequal societies) and a straightforward open-source work-flow using high performance computing, that the effect of initial spatial arrangements is significant on the two models. Furthermore, this effect is sometimes larger than the effect of parameters' value change. Comment: 23 pages, 10 figures, 4 tables |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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