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.

Book details

Author:
Frank Melendez, Nancy Diniz, Marcella Del Signore
ISBN:
9781000064391
Related ISBNs:
9780367369095, 9780367369156, 9780367369132
Publisher:
Taylor and Francis
Pages:
278
Reading age:
Not specified
Includes images:
No
Date of addition:
2020-09-20
Usage restrictions:
Copyright
Copyright date:
2021
Copyright by:
N/A 
Adult content:
No
Language:
English
Categories:
Art and Architecture, Nonfiction