Springer Information Fusion and Intelligent Geographic Information Systems: Computational and Algorithmic Advances (IF & IGIS’2019) (Advances in Geographic Information Science)

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. From the Back Cover 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. About the Author Dr. Vasily Popovich is the General Manager of Projects and Chairman of the Board of Directors for SPIIRAS-HTR&DO Ltd. He has published over 100 research papers, along with several books and manuals, in the areas of computer science, modeling and simulation, object-oriented analysis, programming, and GIS applications. Dr. Jean-Claude Thill is a Knight Distinguished Professor of Public Policy at the University of North Carolina at Charlotte. He is former Editor-in-Chief of Computers, Environment and Urban Systems and serves on the editorial board of a number of international journals in geography, geographic information science, urban science and regional science. He served as President of the Regional Science Association International (RSAI) and has been elected a Fellow of the RSAI. His research focuses on the spatial organization of socio-economic systems across scales. His recent contributions have involved leveraging spatial data analytics (including GeoComputation) to better grasp urban and regional systems with a finer spatio-temporal granul