By Alison J. Heppenstall, Andrew T. Crooks, Linda M. See, Michael Batty
This specific e-book brings jointly a finished set of papers at the heritage, thought, technical matters and functions of agent-based modelling (ABM) inside geographical structures. This number of papers is a useful reference aspect for the skilled agent-based modeller to boot these new to the realm. particular geographical matters akin to dealing with scale and house are handled in addition to functional suggestion from best specialists approximately designing and growing ABMs, dealing with complexity, visualising and validating version outputs. With contributions from the various world’s prime learn associations, the most recent utilized study (micro and macro functions) from worldwide exemplify what should be completed in geographical context.
This ebook is appropriate to researchers, postgraduate and complicated undergraduate scholars, and execs within the components of quantitative geography, spatial research, spatial modelling, social simulation modelling and geographical details sciences.
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Additional info for Agent-Based Models of Geographical Systems
In fact, in real applications, the use of appropriate balancing constraints resolves the issue (Batty 1976, 2008). However the usual way of coupling such models is by assuming that the selfsector is not a function of the model or using another variable such as land area of the zone or cell Aik . Then substituting this for N ik in Eq. 23) 2 A Generic Framework for Computational Spatial Modelling 45 Here we have extended the coupled model even further adding an exogenous input to each sector in the same manner that we did for the reaction-diffusion model earlier in Eq.
Batty, & M. F. ), GIS, spatial analysis, and modeling (pp. 151–172). Redlands: ESRI Press. , & Sun, Z. (1999). Modeling urban dynamics through GIS-based cellular automata. Computers, Environments and Urban Systems, 23, 205–233. , & Johansson, A. (2011). Visuallyintelligible land use transportation models for the rapid assessment of urban futures. CASA working paper 163, University College London. , & Wu, B. (2012), A review of microsimulation and hybrid agent-based approaches. In A. J. Heppenstall, A.
Computers, Environments and Urban Systems, 23, 205–233. , & Johansson, A. (2011). Visuallyintelligible land use transportation models for the rapid assessment of urban futures. CASA working paper 163, University College London. , & Wu, B. (2012), A review of microsimulation and hybrid agent-based approaches. In A. J. Heppenstall, A. T. Crooks, L. M. See & M. ), Agent-based models of geographical systems (pp. 51–68). Dordrecht: Springer. Crooks, A. , & Heppenstall, A. J. (2011). Introduction to agent-based modelling.
Agent-Based Models of Geographical Systems by Alison J. Heppenstall, Andrew T. Crooks, Linda M. See, Michael Batty