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This book integrates the theories of complex self-organizing systems with the rich body of discourse and literature developed in what might be called social theory of cities and urbanism . It uses techniques from dynamical complexity and synergetics to successfully tackle open social science questions.
This book integrates the theories of complex self-organizing systems with the rich body of discourse and literature developed in what might be called social theory of cities and urbanism . It uses techniques from dynamical complexity and synergetics to successfully tackle open social science questions.
'Geosimulation' is a rapidly developing area in geography. Merging GIS, complex systems theory and the latest developments in computer science, it revolutionizes the way in which we think about and model real world complex systems. Applicable across a wide variety of disciplines, "Geosimulation: automata-based modelling of urban phenomena" details some of the most exciting developments in the emerging field of geosimulation. Primarily concerned with developing realistic representations of geographic systems and simulating processes within a computing environment, the emphasis lies in the latest research and development using cellular automata and multi-agent systems. Details the current state-of-the-art in advanced urban simulation Provides the most extensive and thorough investigation into a new and rapidly developing field Has a strong applied focus, with examples from urban studies, city and regional planning, environmental science, political science, sociology, biology, chemistry and physics Presents the reader with a sound theoretical basis of the science of geosimulation, along with applied material on the construction of geosimulation models Applications, examples and working code available from an associated Website providing readers with the tools to carry out their own modelling and testing "Geosimulation: automata-based modelling of urban phenomena" is essential reading for postgraduates and academic researchers interested in GIS, spatial science, urban modelling, quantitative geography and computer science. It will be useful supplementary reading for Masters and upper level undergraduate students of geocomputation, GIS, remote sensing and spatial information science. Itis also key reading for local government and public policy groups in urban planning.
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