Fr. 302.40

Grammatical and Syntactical Approaches in Architecture - Emerging Research and Opportunities

English · Hardback

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Description

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Shape grammar and space syntax have been separately developed but rarely combined in any significant way. The first of these is typically used to investigate or generate the formal or geometric properties of architecture, while the second is used to analyze the spatial, topological, or social properties of architecture. Despite the reciprocal relationship between form and space in architecture-it is difficult to conceptualize a completed building without a sense of both of these properties-the two major computational theories have been largely developed and applied in isolation from each another. Grammatical and Syntactical Approaches in Architecture: Emerging Research and Opportunities is a critical scholarly resource that explores the relationship between shape grammar and space syntax for urban planning and architecture and enables the creative discovery of both the formal and spatial features of an architectural style or type. This book, furthermore, presents a new method to selectively capture aspects of both the grammar and syntax of architecture. Featuring a range of topics such as mathematical analysis, spatial configuration, and domestic architecture, this book is essential for architects, policymakers, urban planners, researchers, academicians, and students.

Summary

Explores the relationship between shape grammar and space syntax for urban planning and architecture and enables the creative discovery of both the formal and spatial features of an architectural style or type. This book also presents a new method to selectively capture aspects of both the grammar and syntax of architecture.

Product details

Authors Ju Hyun Lee, Michael J. Ostwald
Publisher Engineering Science Reference
 
Languages English
Product format Hardback
Released 31.12.2020
 
EAN 9781799816980
ISBN 978-1-79981-698-0
No. of pages 376
Dimensions 183 mm x 260 mm x 25 mm
Weight 901 g
Series Advances in Systems Analysis, Software Engineering, and High Performance Computing
Subjects Humanities, art, music > Linguistics and literary studies > General and comparative linguistics
Natural sciences, medicine, IT, technology > IT, data processing > Hardware

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