Geosimulation : automata-based modeling of urban phenomena /
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| Author / Creator: | Benenson, Itzhak. |
|---|---|
| Imprint: | Chichester, West Sussex, England ; Hoboken, NJ : John Wiley & Sons, c2004. |
| Description: | xxiii, 287 p. : ill., maps ; 26 cm. |
| Language: | English |
| Subject: | |
| Format: | Print Book |
| URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/5360754 |
Table of Contents:
- 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.
