Abstract
With the thinking paradigm shifting on the evolution of complex adaptive systems, a pattern-based design approach is reviewed and reinterpreted. Although a variety of long-term and lasting explorations on patterns in geographical analysis, environmental planning, and design exist, in-depth investigations into a formalized framework, the process and mechanics of pattern formation, and pattern-based planning and design methodologies are still absent. To face this challenge, our research focuses on spatial cognition-based pattern design (for an intelligent and adaptive/interactive environment in planning and design), inspired by the information theory of complex systems and formal semantics of spatial information. A computational analysis method and design methodology is presented using the spatial graph grammars (SGG) formalism, for the structural complexity of two-dimensional spatial layouts. The proposed model consists of abstract syntax, together with the consistent rules of spatial-semantic compositionality, within a unified and formalized framework. In our model, pattern formation results from dynamic hierarchies and adaptive layouts (driven by complex dynamics and controlled by relevant spatial-semantic specifications) within multiple cognitive levels. Our work demonstrates the application potential of incorporating a novel computational tool (in the field of software engineering, data mining, and information visualization/visual analytics) into environmental planning and design.
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Acknowledgements
Kai Liao wishes to thank his PhD advisor, Prof. Michael Batty; Prof. Paul Longley at CASA, University College London; Prof. Kristian Lindgren, Dr. Claes Andersson at the Complex Systems Group, Chalmers University of Technology, Sweden; Prof. Chia-Yun Han at the University of Cincinnati, USA; and Prof. Deren Li at Wuhan University, China.
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Liao, K., Kong, J., Zhang, K., de Vries, B. (2017). Design and Validation of Dynamic Hierarchies and Adaptive Layouts Using Spatial Graph Grammars. In: Griffith, D., Chun, Y., Dean, D. (eds) Advances in Geocomputation. Advances in Geographic Information Science. Springer, Cham. https://doi.org/10.1007/978-3-319-22786-3_38
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