Data Augmented Design: Embracing New Data for Sustainable Urban Planning and Design (Strategies for Sustainability)

Data Augmented Design: Embracing New Data for Sustainable Urban Planning and Design 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. Autor: Ying Long, Enjia Zhang Wydawnictwo: Springer Rok wydania: 2021 Okładka: miękka Liczba stron: 242 Wymiary: 23.5 x 15.5 cm Ilustracje: 136 Illustrations, color; 13 Illustrations, black and white; XXIII, 242 p. 149 illus., 136 illus. in color. Język: angielski ISBN: 9783030496203