Data augmented design: embracing new data for sustainable urban planning and design
Auteur :
Long, Ying / Zhang, Enjia
Éditeur :
Springer Nature Switzerland AG
ISBN :
9783030496203
Date de publication :
15 août 2021
Dimensions :
23,5 x 15,5 cm
Langue :
Anglais
Pays d'origine :
Suisse
This book offers an essential introduction to a new urban planning and design methodology called Data Augmented Design (DAD) and its evolution and progresses, highlighting data driven methods, urban planning and design applications and related theories.