| ISBN: | 9783030496203 |
| Publication date: | 15th August 2021 |
| Author: | Ying Long, Enjia Zhang |
| Publisher: | Springer an imprint of Springer International Publishing |
| Format: | Paperback |
| Pagination: | 242 pages |
| Series: | Strategies for Sustainability |
| Genres: |
Databases Urban communities Sociology Sustainability Computer-aided design (CAD) |
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. The authors draw on many kinds of data, including big, open, and conventional data, and discuss cutting-edge technologies that illustrate DAD as a future oriented design framework in terms of its focus on multi-data, multi-method, multi-stage and multi-scale sustainable urban planning.
Data Augmented Design Spatial Planning and Sustainable Development features in the following genres: Databases, Urban communities, Sociology, Sustainability, Computer-aided design (CAD)
Paperback, Hardback. £125.99, down from the £139.99 cover price. Not Available.
Data Augmented Design Spatial Planning and Sustainable Development was written by Ying Long, Enjia Zhang and published by Springer an imprint of Springer International Publishing
Data Augmented Design Spatial Planning and Sustainable Development has 242 pages
Yes it is part of Strategies for Sustainability series
£125.99, reduced from £139.99. Not Available.