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Book synopsis

There is a wide variety of Urban Growth models all of which pose limitations to their computational application. In this book, a modeling framework is described that is open and adaptable to the user's requirements, easy to use and resilient to the case study limitations. The CaFe model (Cellular Automata - Fuzzy Engine) applies an innovative workflow to connect the input and the output variables. All input variables are merged in a single thematic layer using the Sensitive Sum operator. It is a new fuzzy operator that employs a dynamic parallel connection between the input variables while taking into account their statistical correlation. As a result, the model does not require certain variables/data to run while it implements a reducible/extensible form of Knowledge Base which can include both data-driven and empirical rules. The simulation engine incorporates advanced Cellular Automata techniques which apply spatio-temporal multi-radius transition functions and support action in distance. CaFe is applied in Athens - Greece and simulates urban growth efficinetly while scoring high fitting indicators and retaining a stable average error.

Book details

• Full title: CaFe: Cellular Automata - Fuzzy Engine
• Subtitle: Simulating Urban Growth using Fuzzy Cellular Automata
• Author: Eleytherios Mantelas
• Language: English
• Binding: Paperback
• Number of pages: 112
• EAN: 9783844329964
• ISBN: 384432996X
• ID: 12710340
• Publisher: LAP Lambert Acad. Publ.
• Weight: 183 g
• Dimensions: 220 × 150 × 7 mm
• Date of publishing: November 2011

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