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Author: Ying Long
Publisher: Springer Nature
ISBN: 303049618X
Category : Computers
Languages : en
Pages : 251
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Book Description
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.
Author: Ying Long
Publisher: Springer Nature
ISBN: 303049618X
Category : Computers
Languages : en
Pages : 251
Get Book Here
Book Description
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.
Author: Jawahar R. Sharma
Publisher: New Age International
ISBN: 9788122408881
Category :
Languages : en
Pages : 462
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Book Description
The Book Presents A Comprehensive Account Of The Concept And Genesis Of Diverse Biometrical/Statistical Models As Applied To Plant Breeding Experiments Under Different Situations. Generation And Statistical Treatment Of Data; Presentation, Interpretation And Inferences Of Results; Merits, Demerits And Situations Of Applicability Of Models Are All Explicated For Their Adequate And Appropriate Usage In Plant Breeding. The Whole Volume Comprising 25 Chapters Has Been Zipped Into Five Sections Elucidating; General Statistical/Biometrical Parameters And Field Designs (Chapters 1-4), Multivariate Analysis Of Genetic Divergence (Chapters 6-7), Genotype X Environment Interaction And Stability Parameters (Chapters 8-10), Analysis Of Nature Of Gene Action And Variance Components (Chapters 11 -23), And Lastly The Unique Analysis Of Statistical And Genetical Parameters Related To Selection And Mutation Experiments (Chapters 24-25) In Plant Breeding. Simplification Of The Bewildering Complexities Of Biometrical Notations And Procedures In A Language Which Could Easily Be Grasped By Biologists/Geneticists Having Little Or No Statistical Background Is The Hallmark Of The Treatise. Like A Ready-Reckoner, This Work Offers An Efficient Key To Plant Breeding Data-Management For Both Students And Professional Plant Breeders Alike In Pursuit Of Their Research Goals.
Author: Barry Glaz
Publisher: John Wiley & Sons
ISBN: 0891183590
Category : Technology & Engineering
Languages : en
Pages : 672
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Book Description
Better experimental design and statistical analysis make for more robust science. A thorough understanding of modern statistical methods can mean the difference between discovering and missing crucial results and conclusions in your research, and can shape the course of your entire research career. With Applied Statistics, Barry Glaz and Kathleen M. Yeater have worked with a team of expert authors to create a comprehensive text for graduate students and practicing scientists in the agricultural, biological, and environmental sciences. The contributors cover fundamental concepts and methodologies of experimental design and analysis, and also delve into advanced statistical topics, all explored by analyzing real agronomic data with practical and creative approaches using available software tools. IN PRESS! This book is being published according to the “Just Published” model, with more chapters to be published online as they are completed.
Author: Stan Geertman
Publisher: Edward Elgar Publishing
ISBN: 1788971086
Category : Political Science
Languages : en
Pages : 577
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Book Description
Encompassing a broad range of innovative studies on planning support science, this timely Handbook examines how the consequences of pressing societal challenges can be addressed using computer-based systems. Chapters explore the use of new streams of big and open data as well as data from traditional sources, offering significant critical insights into the field.
Author: Judith Hurwitz
Publisher: CRC Press
ISBN: 0429589719
Category : Computers
Languages : en
Pages : 161
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Book Description
The AI revolution is moving at a breakneck speed. Organizations are beginning to invest in innovative ways to monetize their data through the use of artificial intelligence. Businesses need to understand the reality of AI. To be successful, it is imperative that organizations understand that augmented intelligence is the secret to success. Augmented Intelligence: The Business Power of Human–Machine Collaboration is about the process of combining human and machine intelligence. This book provides business leaders and AI data experts with an understanding of the value of augmented intelligence and its ability to help win competitive markets. This book focuses on the requirement to clearly manage the foundational data used for augmented intelligence. It focuses on the risks of improper data use and delves into the ethics and governance of data in the era of augmented intelligence. In this book, we explore the difference between weak augmentation that is based on automating well understood processes and strong augmentation that is designed to rethink business processes through the inclusion of data, AI and machine learning. What experts are saying about Augmented Intelligence "The book you are about to read is of great importance because we increasingly rely on machine learning and AI. Therefore, it is critical that we understand the ability to create an environment in which businesses can have the tools to understand data from a holistic perspective. What is imperative is to be able to make better decisions based on an understanding of the behavior and thinking of our customers so that we can take the best next action. This book provides a clear understanding of the impact of augmented intelligence on both society and business."—Tsvi Gal, Managing Director, Enterprise Technology and Services, Morgan Stanley "Our mission has always been to help clients apply AI to better predict and shape future outcomes, empower higher value work, and automate how work gets done. I have always said, ’AI will not replace managers, but managers who use AI will replace managers who don't.’ This book delves into the real value that AI promises, to augment existing human intelligence, and in the process, dispels some of the myths around AI and its intended purpose."—Rob Thomas, General Manager, Data and AI, IBM
Author: W. Newton Suter
Publisher: SAGE
ISBN: 1412995736
Category : Education
Languages : en
Pages : 529
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Book Description
W. Newton Suter argues that what is important in a changing education landscape is the ability to think clearly about research methods, reason through complex problems and evaluate published research. He explains how to evaluate data and establish its relevance.
Author: Anthony Atkinson
Publisher: Oxford University Press, USA
ISBN: 0199296596
Category : Business & Economics
Languages : en
Pages : 528
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Book Description
Experiments in the field and in the laboratory cannot avoid random error and statistical methods are essential for their efficient design and analysis. Authored by leading experts in key fields, this text provides many examples of SAS code, results, plots and tables, along with a fully supported website.
Author: Martin Schmettow
Publisher: Springer
ISBN: 9783030463823
Category : Computers
Languages : en
Pages : 0
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Book Description
Design Research uses scientific methods to evaluate designs and build design theories. This book starts with recognizable questions in Design Research, such as A/B testing, how users learn to operate a device and why computer-generated faces are eerie. Using a broad range of examples, efficient research designs are presented together with statistical models and many visualizations. With the tidy R approach, producing publication-ready statistical reports is straight-forward and even non-programmers can learn this in just one day. Hundreds of illustrations, tables, simulations and models are presented with full R code and data included. Using Bayesian linear models, multi-level models and generalized linear models, an extensive statistical framework is introduced, covering a huge variety of research situations and yet, building on only a handful of basic concepts. Unique solutions to recurring problems are presented, such as psychometric multi-level models, beta regression for rating scales and ExGaussian regression for response times. A “think-first” approach is promoted for model building, as much as the quantitative interpretation of results, stimulating readers to think about data generating processes, as well as rational decision making. New Statistics for Design Researchers: A Bayesian Workflow in Tidy R targets scientists, industrial researchers and students in a range of disciplines, such as Human Factors, Applied Psychology, Communication Science, Industrial Design, Computer Science and Social Robotics. Statistical concepts are introduced in a problem-oriented way and with minimal formalism. Included primers on R and Bayesian statistics provide entry point for all backgrounds. A dedicated chapter on model criticism and comparison is a valuable addition for the seasoned scientist.
Author: Christoph Kronhagel
Publisher: Ambra Verlag
ISBN: 9783990433676
Category :
Languages : en
Pages : 448
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Book Description
Through the growing importance of electronic media and the services provided by the internet, the delimitation between physical and virtual spaces is becoming increasingly fuzzy. This volume explores the phenomena known as "mediatexture" by looking at the basic knowledge on mediatectonic work.
Author: Nancy Flournoy
Publisher: IMS
ISBN: 9780940600461
Category : Mathematics
Languages : en
Pages : 218
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Book Description
