Data Augmented Design is popular PDF and ePub book, written by Ying Long in 2020-08-13, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Data Augmented Design can be Read Online from any device for your convenience.
Data Augmented Design Book PDF Summary
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. In four sections and ten chapters, the book presents case studies to address the core concepts of DAD, the first type of applications of DAD that emerged in redevelopment-oriented planning and design, the second type committed to the planning and design for urban expansion, and the future-oriented applications of DAD to advance sustainable technologies and the future structural form of the built environment. The book is geared towards a broad readership, ranging from researchers and students of urban planning, urban design, urban geography, urban economics, and urban sociology, to practitioners in the areas of urban planning and design.
Detail Book of Data Augmented Design PDF
- Author : Ying Long
- Release : 13 August 2020
- Publisher : Springer Nature
- ISBN : 9783030496180
- Genre : Computers
- Total Page : 242 pages
- Language : English
- PDF File Size : 19,6 Mb
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