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.
4.2 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.
5. Modelling Urban Dynamics with Multi-Agent Systems.
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.
6. Finale: Epistemology of Geosimulation.
6.1 Universal questions.
6.2 The future of Geosimulation.