Smart city is mindful every second and communicates, in real time, analyzed knowledge to citizen for satisfactory way of life, with easy delivery of services, comfortable mobility, conserving energy, environment and other natural resources, and creating energetic communities and a vibrant urban economy. Geographic Information Systems for Smart Cities explores the role of GIS in upgrading existing cities to smart cities. Beginning with a discussion on process of transition from existing GIS to smart city GIS, the book goes on to explore the GIS for smart and sustainable urbanization; practical difficulties in implementing and maintaining such self-aware GIS; open large scale geo-data management and web map services to achieve the smart city goals; role of GIS in community development. The book explains the adaptive urbanism for sea-level rise and environmentally sensitive land-use allocation for coastal smart cities. Chapters explaining the use of GIS for slum management and smart buildings in smart cities are also included. To emphasize on the importance of mobility in smart cities, the book discusses the role of using intra-day trip generation and travel management for a smart city; intelligent goods transportation system; GIS-based land-use suitability and transportation model. The latter part of the book explores agent-based simulation focused on natural disasters and safe location; biourbanism as a new framework for smart cities studies; new discipline of smart planning. Smart cities future, opportunities and barriers through scenario-based urban planning support system are discussed in detail. How past Indian experiences can be extended in future for smart Indian cities is explained. The book concludes with the identification of existing cities for upgradation, ways and means of activation of smart communities, smart institutional framework, smart economy and deployment of smart urban technologies. With its distinguished editor and international team of contributors, Geographic Information Systems for Smart Cities is a standard reference work for city planners, urban managers, GIS specialists, and policy makers who are actively involved in building smart cities.

This book presents fundamental and applied research in developing geospatial modeling solutions to manage the challenges that urban areas are facing today. It aims to connect the academics, researchers, experts, town planners, investors and government officials to exchange ideas. The areas addressed include urban heat island analysis, urban flood vulnerability and risk mapping, green spaces, solar energy, infrastructure management, among others. The book suggests directions for smart city research and outlines practical propositions. As an emerging and critical area of research and development, much research is now being done with regard to cities. At the international level and in India alike, the “smart cities” concept is a vital topic for universities and research centers, and well as for civic bodies, town planners and policymakers. As such, the book offers a valuable resource for a broad readership.

This book is a selection of the best and peer-reviewed articles presented at the CUPUM (Computers in Urban Planning and Urban Management) conference, held in the second week of July 2015 at MIT in Boston, USA. The contributions provide state-of the art overview of the availability and application of Planning Support Systems (PSS) in the framework of Smart Cities.

Discover detailed insights into the methods, algorithms, and techniques for deep learning in sensor data analysis Sensor Data Analysis and Management: The Role of Deep Learning delivers an insightful and practical overview of the applications of deep learning techniques to the analysis of sensor data. The book collects cutting-edge resources into a single collection designed to enlighten the reader on topics as varied as recent techniques for fault detection and classification in sensor data, the application of deep learning to Internet of Things sensors, and a case study on high-performance computer gathering and processing of sensor data. The editors have curated a distinguished group of perceptive and concise papers that show the potential of deep learning as a powerful tool for solving complex modelling problems across a broad range of industries, including predictive maintenance, health monitoring, financial portfolio forecasting, and driver assistance. The book contains real-time examples of analyzing sensor data using deep learning algorithms and a step-by-step approach for installing and training deep learning using the Python keras library. Readers will also benefit from the inclusion of: A thorough introduction to the Internet of Things for human activity recognition, based on wearable sensor data An exploration of the benefits of neural networks in real-time environmental sensor data analysis Practical discussions of supervised learning data representation, neural networks for predicting physical activity based on smartphone sensor data, and deep-learning analysis of location sensor data for human activity recognition An analysis of boosting with XGBoost for sensor data analysis Perfect for industry practitioners and academics involved in deep learning and the analysis of sensor data, Sensor Data Analysis and Management: The Role of Deep Learning will also earn a place in the libraries of undergraduate and graduate students in data science and computer science programs.

The proper management of geographic data can provide assistance to a number of different sectors within society. As such, it is imperative to continue advancing research for spatial data analysis. The Handbook of Research on Geographic Information Systems Applications and Advancements presents a thorough overview of the latest developments in effective management techniques for collecting, processing, analyzing, and utilizing geographical data and information. Highlighting theoretical frameworks and relevant applications, this book is an ideal reference source for researchers, academics, professionals, and students actively involved in the field of geographic information systems.

The smart city concept, together with the growing importance of the UN’s Sustainable Development Goals, has a significant impact on city management and governance. This book examines real cases of smart city management across Asia and Europe. It covers regions such as Iceland, Estonia, Poland, Germany, India, Indonesia, Malaysia, Singapore, and Vietnam to systemize the knowledge in the field. It evaluates smart cities’ efficiency and analyzes and assesses the standards, norms and best practices involved in the management of smart cities. The book answers questions such as what it is that makes smart cities stand out, why some countries in Europe and Asia have more smart cities than others, whether smart cities support the economy and GDP growth of the country, and what the main determinants of forming smart cities in Asia and Europe are. It also evaluates whether smart cities secure higher standards of living for their citizens as compared to regular cities. Many theoretical concepts and theories are developed and then verified from the perspective of Western economies. Central Eastern European and Asian countries are frequently overlooked, thus, examining the smart city idea from the viewpoint of non-Western economies offers a fresh insight into the concept and its adaptation and evolution. The range of issues analyzed in the book are multilayered and approached from a wide array of perspectives, from macroeconomics to management, finance and technology, and public policy. Thus, the book is addressed to researchers, students, and academics who specialize in sustainable and regional development, economic geography, and management. It will also be of interest to urban planners, environmental scientists, and policymakers.

This book gathers the proceedings of the 9th International Symposium “Information Fusion and Intelligent Geographic Information Systems 2019” (IF&IGIS'2019), which was held in St. Petersburg, Russia from May 22 to 24, 2019. The goal of the symposium was to provide a forum for exchange among leading international scholars in the fields of spatial data, information integration and Intelligent Geographic Information Systems (IGIS). The symposium was an opportunity to discuss sound and effective lines of modeling in the fusion of spatial data and information within the broader scope of intelligent GIS. The topics of the 2019 Symposium essentially fall into three broad categories of developments aimed at leveraging the power of spatial information, namely: artificial intelligence; algorithmic and computations processes; and data-informed simulation models. All papers collected here present compelling, cutting-edge research on cloud computing, deep learning, visual analytics, and large-scale optimization. They discuss information fusion and intelligent GIS research in the context of surface and sub-surface maritime activities, port asset management, land-based trip and travel planning, smart city and e-government, emergency management, and environmental monitoring. Given its scope, the book will be of interest to students, researchers and professionals working in GIS, remote sensing, and cloud computing.