By Alison J. Heppenstall, Andrew T. Crooks, Linda M. See, Michael Batty
This distinct booklet brings jointly a accomplished set of papers at the history, concept, technical matters and purposes of agent-based modelling (ABM) inside of geographical platforms. This selection of papers is a useful reference element for the skilled agent-based modeller besides these new to the world. particular geographical matters corresponding to dealing with scale and house are handled in addition to sensible recommendation from best specialists approximately designing and developing ABMs, dealing with complexity, visualising and validating version outputs. With contributions from a number of the world’s best learn associations, the most recent utilized examine (micro and macro functions) from worldwide exemplify what should be accomplished in geographical context.
This ebook is proper to researchers, postgraduate and complex undergraduate scholars, and pros within the parts of quantitative geography, spatial research, spatial modelling, social simulation modelling and geographical info sciences.
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Additional info for Agent-Based Models of Geographical Systems
Spatial MSM was first studied by Hägerstrand (1985) since the 1950s by first introducing the spatial and temporal dimensions into social studies. Wilson (1967), Clarke (1996) and Birkin and Clarke (1995) extended the theoretical framework over the years. Various spatial microsimulations have been developed, including both static and dynamic microsimulations. They allow data from various sources to be linked and patterns to be explored at different spatial scales with re-aggregation or disaggregation of the data.
SAGEMOD (Zaidi 2004) is a dynamic demographic/tax model which not only estimates incomes but also estimates a random-effects cross-sectional wage equation which included some individual wage history data with the error components. The impact of other labour market states (unemployed, inactive, student) in previous years has been investigated on the earnings of currently employed individuals. 3 A Review of Microsimulation and Hybrid Agent-Based Approaches 59 Static and dynamic MSM each have their own strengths.
ABM implies some form of movement or at least change between agents. Agents as objects in the population are defined individually as k but are made specific in terms of the locations where they exist i at time t . In fact agents may not physically move or indeed in non-spatial models, they may not even be defined in terms of location. If the model is simply one of examining relations between agents at a cross section in time, then such relations might solely be defined in terms of say N k and N l , the relation between them defining a link in a social network N k = f ( N k , N ).
Agent-Based Models of Geographical Systems by Alison J. Heppenstall, Andrew T. Crooks, Linda M. See, Michael Batty