Data-Centric Regenerative Built Environment: Big Data for Sustainable Regeneration, Banihashemi Saeed, Sohi Sepideh Zarepour
Автор: Nimish Biloria Название: Data-driven Multivalence in the Built Environment ISBN: 3030121828 ISBN-13(EAN): 9783030121822 Издательство: Springer Рейтинг: Цена: 79190.00 T Наличие на складе: Невозможна поставка. Описание: Urban health and wellbeing, urban mobility and infrastructure, smart manufacturing, Interaction Design, Urban Design & Planning as well as Data Science, as prominent symbiotic domains constituting the Built Environment are represented in this first book in the S.M.A.R.T.
Автор: Nimish Biloria Название: Data-driven Multivalence in the Built Environment ISBN: 3030121798 ISBN-13(EAN): 9783030121792 Издательство: Springer Рейтинг: Цена: 111790.00 T Наличие на складе: Невозможна поставка. Описание: Urban health and wellbeing, urban mobility and infrastructure, smart manufacturing, Interaction Design, Urban Design & Planning as well as Data Science, as prominent symbiotic domains constituting the Built Environment are represented in this first book in the S.M.A.R.T.
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 Рейтинг: Цена: 260870.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: Simon Elias Bibri Название: Big Data Science and Analytics for Smart Sustainable Urbanism ISBN: 3030173119 ISBN-13(EAN): 9783030173111 Издательство: Springer Рейтинг: Цена: 204970.00 T Наличие на складе: Нет в наличии. 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.
Автор: Y. Sadahiro Название: Spatial Data Infrastructure for Urban Regeneration ISBN: 4431740961 ISBN-13(EAN): 9784431740964 Издательство: Springer Рейтинг: Цена: 121890.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
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: 149060.00 T Наличие на складе: Нет в наличии. 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.
Автор: Ghosh Название: Machine Intelligence and Data Analytics for Sustainable Future Smart Cities ISBN: 3030720675 ISBN-13(EAN): 9783030720674 Издательство: Springer Рейтинг: Цена: 158380.00 T 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.
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: 158380.00 T 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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