The course acquaints students with the theoretical basics of modeling of complex urban systems and with examples of the use of computer models in scientific research of settlement systems and their sub-subsystems (eg. transport, economic, social, land-use). The course discusses the role of spatial analysis, models and simulations for the study of urban areas. Emphasis is also placed on related data and visualization issues. The basic principles of computer modeling of urban systems are explained on the analysis of important computer models of settlements from the 1960s to the present. In the practical part of the course, students will get acquainted with selected platforms for computer simulations that can be used for experimental research of complex urban systems.
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Batty, M. (2007). Cities and Complexity: Understanding Cities with Cellular Automata, Agent-Based Models, and Fractals. MIT Press.
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Batty, M. (2013). The new science of cities. The MIT Press.
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Burian, J. (2014). Geoinformatika v prostorovém plánování. Olomouc.
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Burian, J., Pászto, V., Tuček, P. a kol. (2013). Geoinformatika při analýzách rurálního a urbánního prostoru. Olomouc.
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Heppenstall, A. J., Crooks, A. T., See L. M., Batty, M. (2012). Agent-Based Models of Geographical Systems. Springer.
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Maguire, D. J., Batty, M., Goodchild, M. F. (2005). GIS, Spatial Analysis, and Modeling. ESRI Press.
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O'Sullivan, D., Perry, G. L. W. (2013). Spatial Simulation: Exploring Patterns and Process. Wiley-Blackwell.
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Vorel, J. (2017). Urban Simulation Modeling. An Introduction and Experimental Applications in the Czech Republic. ČVUT v Praze.
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Wilensky, U., Rand, W. (2015). An introduction to agent-based modeling: modeling natural, social, and engineered complex systems with NetLogo. The MITT Press.
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