Data Augmented Design
Enjia Zhang, Ying Long
Springer Nature Switzerland AG, 2020
185,50 €On orderDelivery: 2-3 weeks
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.
- ISBN-13
- 9783030496173
- ISBN-10
- 3030496171
- Publisher
- Springer Nature Switzerland AG
- Year
- 2020
- Publication date
- 2020-08-14
- Pages
- 242
- Dimensions
- 235x155x