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Data-Centric Regenerative Built Environment: Big Data for Sustainable Regeneration, Banihashemi Saeed, Sohi Sepideh Zarepour


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Автор: Banihashemi Saeed, Sohi Sepideh Zarepour
Название:  Data-Centric Regenerative Built Environment: Big Data for Sustainable Regeneration
ISBN: 9780367689926
Издательство: Taylor&Francis
Классификация:

ISBN-10: 0367689928
Обложка/Формат: Hardcover
Страницы: 198
Вес: 0.38 кг.
Дата издания: 25.03.2022
Серия: Routledge research in sustainable planning and development in asia
Язык: English
Иллюстрации: 17 tables, black and white; 72 halftones, black and white; 72 illustrations, black and white
Размер: 21.59 x 13.97 x 1.27 cm
Читательская аудитория: Postgraduate, research & scholarly
Подзаголовок: Big data for sustainable regeneration
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Европейский союз
Описание: This book examines the use of big data in regenerative urban environment and how data helps in functional planning and design solutions. With in-depth case studies, this book is a useful reference for anyone interested in driving sustainable regeneration of our urban environments through big data-centric design solutions.


Spatial Data Infrastructure for Urban Regeneration

Автор: Y. Sadahiro
Название: Spatial Data Infrastructure for Urban Regeneration
ISBN: 4431740961 ISBN-13(EAN): 9784431740964
Издательство: Springer
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Цена: 18284.00 р.
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Описание: This book considers the use of spatial data infrastructure in both the study and practice of urban regeneration. Topics range from the development of spatial data infrastructure to its application to urban regeneration studies.

Big Data Science and Analytics for Smart Sustainable Urbanism: Unprecedented Paradigmatic Shifts and Practical Advancements

Автор: Bibri Simon Elias
Название: Big Data Science and Analytics for Smart Sustainable Urbanism: Unprecedented Paradigmatic Shifts and Practical Advancements
ISBN: 3030173143 ISBN-13(EAN): 9783030173142
Издательство: Springer
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Цена: 39130.00 р.
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Описание: Introduction: The Evolving Data-Driven Smart Sustainable Approach to Urbanism for Tackling the Challenges of Sustainability and Urbanization.- Smart Sustainable Urbanism and Big Data Computing: A Topical Literature Review.- Conceptual, Theoretical, and Disciplinary Foundations: An Interdisciplinary and Transdisciplinary Perspective.- The Data-Driven Smart Sustainable Paradigm of Urbanism: A Qualitative Analysis of Long-lasting Trends.- The Anatomy of the Data-Driven Smart Sustainable City: Instrumentation, Datafication, Computerization, and Technologization.- Paradigmatic, Scientific, Scholarly, Epistemic, and Discursive Shifts in Light of Big Data Science and Analytics.- On the Unsustainability and Sustainability of Smart Urbanism in the Era of Big Data.- Advancing Sustainable Urbanism Processes: The Key Practical and Analytical Applications of Big Data Computing for Urban Systems and Domains.- The Unfolding and Soaring Data Deluge for Advancing Smart Sustainable Urbanism: Data-Driven Urban Studies and Analytics.- Data-Driven Smart Sustainable Urbanism: Decision-Making, Intelligence Functions, Simulation Models, Optimization Methods, and their Synergy in Complex City Systems.- Towards a Novel Model Integrating the Data-Driven City, the Eco-city, and the Compact City: A Scholarly and Planning Approach to Future Vision Construction.

Big Data Science and Analytics for Smart Sustainable Urbanism

Автор: Simon Elias Bibri
Название: Big Data Science and Analytics for Smart Sustainable Urbanism
ISBN: 3030173119 ISBN-13(EAN): 9783030173111
Издательство: Springer
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Цена: 30745.00 р.
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Описание: We are living at the dawn of what has been termed ‘the fourth paradigm of science,’ a scientific revolution that is marked by both the emergence of big data science and analytics, and by the increasing adoption of the underlying technologies in scientific and scholarly research practices. Everything about science development or knowledge production is fundamentally changing thanks to the ever-increasing deluge of data. This is the primary fuel of the new age, which powerful computational processes or analytics algorithms are using to generate valuable knowledge for enhanced decision-making, and deep insights pertaining to a wide variety of practical uses and applications.This book addresses the complex interplay of the scientific, technological, and social dimensions of the city, and what it entails in terms of the systemic implications for smart sustainable urbanism. In concrete terms, it explores the interdisciplinary and transdisciplinary field of smart sustainable urbanism and the unprecedented paradigmatic shifts and practical advances it is undergoing in light of big data science and analytics. This new era of science and technology embodies an unprecedentedly transformative and constitutive power—manifested not only in the form of revolutionizing science and transforming knowledge, but also in advancing social practices, producing new discourses, catalyzing major shifts, and fostering societal transitions. Of particular relevance, it is instigating a massive change in the way both smart cities and sustainable cities are studied and understood, and in how they are planned, designed, operated, managed, and governed in the face of urbanization. This relates to what has been dubbed data-driven smart sustainable urbanism, an emerging approach based on a computational understanding of city systems and processes that reduces urban life to logical and algorithmic rules and procedures, while also harnessing urban big data to provide a more holistic and integrated view or synoptic intelligence of the city. This is increasingly being directed towards improving, advancing, and maintaining the contribution of both sustainable cities and smart cities to the goals of sustainable development.This timely and multifaceted book is aimed at a broad readership. As such, it will appeal to urban scientists, data scientists, urbanists, planners, engineers, designers, policymakers, philosophers of science, and futurists, as well as all readers interested in an overview of the pivotal role of big data science and analytics in advancing every academic discipline and social practice concerned with data–intensive science and its application, particularly in relation to sustainability.

Data Augmented Design: Embracing New Data for Sustainable Urban Planning and Design

Автор: Long Ying, Zhang Enjia
Название: Data Augmented Design: Embracing New Data for Sustainable Urban Planning and Design
ISBN: 3030496171 ISBN-13(EAN): 9783030496173
Издательство: Springer
Цена: 22359.00 р.
Наличие на складе: Поставка под заказ.

Описание: 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.

Machine Intelligence and Data Analytics for Sustainable Future Smart Cities

Автор: Ghosh
Название: Machine Intelligence and Data Analytics for Sustainable Future Smart Cities
ISBN: 3030720675 ISBN-13(EAN): 9783030720674
Издательство: Springer
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Цена: 23757.00 р.
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Описание: This book presents the latest advances in computational intelligence and data analytics for sustainable future smart cities. It focuses on computational intelligence and data analytics to bring together the smart city and sustainable city endeavors.

Machine Intelligence and Data Analytics for Sustainable Future Smart Cities

Автор: Ghosh Uttam, Maleh Yassine, Alazab Mamoun
Название: Machine Intelligence and Data Analytics for Sustainable Future Smart Cities
ISBN: 3030720640 ISBN-13(EAN): 9783030720643
Издательство: Springer
Цена: 23757.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book presents the latest advances in computational intelligence and data analytics for sustainable future smart cities. It focuses on computational intelligence and data analytics to bring together the smart city and sustainable city endeavors.


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