TY - CHAP
T1 - Design and validation of dynamic hierarchies and adaptive layouts using spatial graph grammars
AU - Liao, K.
AU - Kong, J.
AU - Zhang, K.
AU - de Vries, B.
PY - 2017
Y1 - 2017
N2 - 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.
AB - 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.
KW - Complex adaptive systems
KW - Design cognition and knowledge representation
KW - Design patterns
KW - Spatial graph grammar (SGG)
KW - Spatial-semantic analytics
UR - http://www.scopus.com/inward/record.url?scp=85010078892&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-22786-3_38
DO - 10.1007/978-3-319-22786-3_38
M3 - Chapter
SN - 978-3-319-22785-6
T3 - Advances in Geographic Information Science
SP - 437
EP - 447
BT - Advances in Geocomputation: Geocomputation 2015, The 13th International Conference
A2 - Griffith, Daniel A.
A2 - Chun, Yongwan
A2 - Dean, Denis J.
PB - Springer
CY - Cham
ER -