Data, Matter, Design: Strategies in Computational Design
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- Synopsis
- Data, Matter, Design presents a comprehensive overview of current design processes that rely on the input of data and use of computational design strategies, and their relationship to an array of outputs. Technological changes, through the use of computational tools and processes, have radically altered and influenced our relationship to cities and the methods by which we design architecture, urban, and landscape systems. This book presents a wide range of curated projects and contributed texts by leading architects, urbanists, and designers that transform data as an abstraction, into spatial, experiential, and performative configurations within urban ecologies, emerging materials, robotic agents, adaptive fields, and virtual constructs. Richly illustrated with over 200 images, Data, Matter, Design is an essential read for students, academics, and professionals to evaluate and discuss how data in design methodologies and theoretical discourses have evolved in the last two decades and why processes of data collection, measurement, quantification, simulation, algorithmic control, and their integration into methods of reading and producing spatial conditions, are becoming vital in academic and industry practices.
- Copyright:
- 2021
Book Details
- Book Quality:
- Publisher Quality
- Book Size:
- 278 Pages
- ISBN-13:
- 9781000064414
- Related ISBNs:
- 9780367369095, 9780367369156, 9780367369132
- Publisher:
- Taylor and Francis
- Date of Addition:
- 09/21/20
- Copyrighted By:
- selection and editorial matter, Frank Melendez, Nancy Diniz, and Marcella Del Signore
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Art and Architecture
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
- Edited by:
- Frank Melendez
- Edited by:
- Nancy Diniz
- Edited by:
- Marcella Del Signore