Geosimulation
Automata-based Modeling of Urban Phenomena
1st Edition
Published on 16. July 2004
Book
Hardback
312 pages
978-0-470-84349-9 (ISBN)
Description
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 theoretical base in the science of geosimulation as well as applied material on the construction of geosimulation models
Cross-references to an author-maintained associated website with downloadable working code for readers to apply the models presented in the book
Visit the Author's Website for further information on Geosimulation, Geographic Automata Systems and Geographic Automata Software
http://www.geosimulationbook.com
The first book to treat urban geosimulation explicitly, integrating socio-economic and environmental modelling approaches
Provides the reader with a sound theoretical base in the science of geosimulation as well as applied material on the construction of geosimulation models
Cross-references to an author-maintained associated website with downloadable working code for readers to apply the models presented in the book
Visit the Author's Website for further information on Geosimulation, Geographic Automata Systems and Geographic Automata Software
http://www.geosimulationbook.com
More details
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
Product notice
sewn/stitched
Paper over boards
Dimensions
Height: 254 mm
Width: 174 mm
Thickness: 25 mm
Weight
692 gr
ISBN-13
978-0-470-84349-9 (9780470843499)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
Itzhak Benenson is the author of Geosimulation: Automata-based modeling of urban phenomena, published by Wiley.
Paul Torrens is the author of Geosimulation: Automata-based modeling of urban phenomena, published by Wiley.
Paul Torrens is the author of Geosimulation: Automata-based modeling of urban phenomena, published by Wiley.
Content
Preface. Acknowledgements.
Foreword.
1. Introduction to urban Geosimulation.
1.1 A new wave of urban geographic models is coming.
1.2 Defining urban Geosimulation.
1.3 Automata as a basis of Geosimulation.
1.4 High-resolution GIS as a driving force of Geosimulation.
1.5 The origins of support for Geosimulation.
1.6 Geosimulation of complex adaptive systems.
1.7 Book layout.
2. Formalizing Geosimulation with Geographic Automata Systems (GAS).
2.1 Cellular Automata and Multi-Agent Systems - Unite!
2.2 Geographic Automata Systems (GAS).
2.3 GAS as a tool for modelling Complex Adaptive Systems.
2.4 From Gas to software environment for urban modelling.
2.5 Object Based Environment for Urban Simulation (OBEUS) - a minimal implementation of GAS.
2.6 Universality of GAS.
2.7 Verifying GAS models.
3. System Theory, Geography, and Urban Modelling.
3.1 The basic notions of system theory.
3.2 The 1960s, geography meets system theory.
3.3 'Stocks and flows' urban modelling.
3.4 Critics of comprehensive modelling.
3.5 What next? Geosimulation of collective dynamics!
4. Modelling urban land usage with cellular automata.
4.1 Introduction.
4.2 Cellular Automata as a framework for modelling complex spatial systems.
4.3 Urban Cellular Automata.
4.4 From Markov models to urban Cellular Automata.
4.5 Integration of the CA and Markov approaches at a regional level.
4.6 Conclusions.
5. Modelling Urban Dynamics with Multi-Agent Systems.
5.1 Introduction.
5.2 MAS as a tool for modelling complex human-driven systems.
5.3 Interpreting agency.
5.4 Urban agents, urban agency, and multi-agent cities.
5.5 Agent behaviour in urban environments.
5.6 General models of agents' collectives in urban interpretation.
5.7 Abstract MAS models of urban phenomena.
5.8 Real-world agent-based simulations of urban phenomena.
5.9 MAS models as planning and assessment tools.
5.10 Conclusions.
6. Finale: Epistemology of Geosimulation.
6.1 Universal questions.
6.2 The future of Geosimulation.
Bibliography.
Index.
Foreword.
1. Introduction to urban Geosimulation.
1.1 A new wave of urban geographic models is coming.
1.2 Defining urban Geosimulation.
1.3 Automata as a basis of Geosimulation.
1.4 High-resolution GIS as a driving force of Geosimulation.
1.5 The origins of support for Geosimulation.
1.6 Geosimulation of complex adaptive systems.
1.7 Book layout.
2. Formalizing Geosimulation with Geographic Automata Systems (GAS).
2.1 Cellular Automata and Multi-Agent Systems - Unite!
2.2 Geographic Automata Systems (GAS).
2.3 GAS as a tool for modelling Complex Adaptive Systems.
2.4 From Gas to software environment for urban modelling.
2.5 Object Based Environment for Urban Simulation (OBEUS) - a minimal implementation of GAS.
2.6 Universality of GAS.
2.7 Verifying GAS models.
3. System Theory, Geography, and Urban Modelling.
3.1 The basic notions of system theory.
3.2 The 1960s, geography meets system theory.
3.3 'Stocks and flows' urban modelling.
3.4 Critics of comprehensive modelling.
3.5 What next? Geosimulation of collective dynamics!
4. Modelling urban land usage with cellular automata.
4.1 Introduction.
4.2 Cellular Automata as a framework for modelling complex spatial systems.
4.3 Urban Cellular Automata.
4.4 From Markov models to urban Cellular Automata.
4.5 Integration of the CA and Markov approaches at a regional level.
4.6 Conclusions.
5. Modelling Urban Dynamics with Multi-Agent Systems.
5.1 Introduction.
5.2 MAS as a tool for modelling complex human-driven systems.
5.3 Interpreting agency.
5.4 Urban agents, urban agency, and multi-agent cities.
5.5 Agent behaviour in urban environments.
5.6 General models of agents' collectives in urban interpretation.
5.7 Abstract MAS models of urban phenomena.
5.8 Real-world agent-based simulations of urban phenomena.
5.9 MAS models as planning and assessment tools.
5.10 Conclusions.
6. Finale: Epistemology of Geosimulation.
6.1 Universal questions.
6.2 The future of Geosimulation.
Bibliography.
Index.