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Geosimulation Automata-Based Modeling of Urban Phenomena

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ISBN-10: 0470843497

ISBN-13: 9780470843499

Edition: 2004

Authors: Itzhak Benenson, Paul M. Torrens

List price: $121.75
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Geosimulation is hailed as 'the next big thing' in geographic modelling for urban studies. This book presents readers with an overview of this new and innovative field by introducing the spatial modelling environment and describing the latest research and development using cellular automata and multi-agent systems. Extensive case studies and working code is available from an associated website which demonstrate the technicalities of geosimulation, and provide readers with the tools to carry out their own modelling and testing. The first book to treat urban geosimulation explicitly, integrating socio-economic and environmental modelling approaches Provides the reader with a sound…    
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Book details

List price: $121.75
Copyright year: 2004
Publisher: John Wiley & Sons, Incorporated
Publication date: 8/20/2004
Binding: Hardcover
Pages: 312
Size: 6.75" wide x 10.00" long x 0.50" tall
Weight: 1.628
Language: English

Introduction to urban Geosimulation.
A new wave of urban geographic models is coming
Defining urban Geosimulation
Automata as a basis of Geosimulation
High-resolution GIS as a driving force of Geosimulation
The origins of support for Geosimulation
Geosimulation of complex adaptive systems
Book layout
Formalizing Geosimulation with Geographic Automata Systems (GAS).
Cellular Automata and Multi-Agent Systems - Unite!
Geographic Automata Systems (GAS
GAS as a tool for modelling Complex Adaptive Systems
From Gas to software environment for urban modelling
Object Based Environment for Urban Simulation (OBEUS) - a minimal implementation of GAS
Universality of GAS
Verifying GAS models
System Theory, Geography, and Urban Modelling.
The basic notions of system theory
The 1960s, geography meets system theory
'Stocks and flows' urban modelling
Critics of comprehensive modelling
What next? Geosimulation of collective dynamics!
Modelling urban land usage with cellular automata.
Cellular Automata as a framework for modelling complex spatial systems
Urban Cellular Automata
From Markov models to urban Cellular Automata
Integration of the CA and Markov approaches at a regional level
Modelling Urban Dynamics with Multi-Agent Systems.
MAS as a tool for modelling complex human-driven systems
Interpreting agency
Urban agents, urban agency, and multi-agent cities
Agent behaviour in urban environments
General models of agents' collectives in urban interpretation
Abstract MAS models of urban phenomena
Real-world agent-based simulations of urban phenomena
MAS models as planning and assessment tools
Finale: Epistemology of Geosimulation.
Universal questions
The future of Geosimulation