Spatial data is essential in a wide range of application domains today. While geographical applications remain the key target area, spatial properties are required in other contexts such as computer-aided design, robotics and image processing. Associated with these is the constantly growing number of distributed processing architectures, based on, for example, grid systems, sensor data networks, and personalized smart devices.
Spatial Data on the Web links these two research streams, focusing on the modeling and management of spatial data in distributed systems. Belussi and his coeditors have structured the contributions from internationally renowned researchers into four parts. Part I presents models for representing semistructured, multiresolution and multiscale data; Part II deals with the integration of spatial data sources; Part III describes approaches to spatial data protection; and, finally, Part IV reports innovative applications for mobile devices. The book offers researchers in academia and industry an excellent overview of the state of the art in modeling and management of spatial data in distributed environments, while it may also be the basis of specialized courses on Web-based geographical information systems.
Reviews / Votes
From the reviews:
"More than 30 contributors from Australia, Europe and the USA . cover a range of technical issues in these areas and provide a thoughtful, informative exposition on the conceptual and theoretical aspects of putting spatial data on the web. . this volume makes a valuable contribution to the subject of web-enabled spatial data that should prove valuable to research and students at an advanced stage of their studies on GIS programmes. Each chapter includes its own list of references . ." (Nigel Walford, Area Royal Geographical Society, Vol. 41 (1), 2009)
Edition
Language
Place of publication
Publishing group
Target group
Professional and scholarly
Research
Illustrations
111 s/w Abbildungen
XII, 314 p. 111 illus.
Dimensions
Height: 241 mm
Width: 160 mm
Thickness: 23 mm
Weight
ISBN-13
978-3-540-69877-7 (9783540698777)
DOI
10.1007/978-3-540-69878-4
Schweitzer Classification
Alberto Belussi is associate professor at the Computer Science Department of the University of Verona, Italy. He graduated in Electronic Engineering (with specialization in Computer Science) at Politecnico di Milano (Italy) in 1992 and he received the Ph.D in Computer Science and Automatic Engineering at Politecnico di Milano (Italy) in 1996. During his Ph.D he spent six months at the Computer Science Department of the University of Maryland (USA), where he cooperated with Prof. Christos Faloutsos in the area of spatial query optimisation. His current research interests are: geographical information systems design, design of interfaces for update of geographical data, multi-resolution geographical databases and interoperability in geographical databases.
Barbara Catania is Associate Professor at the Department of Computer and Information Sciences of the University of Genova, Italy. In 1993, she graduated from the University of Genova, Italy, in Information Sciences. She received her Ph.D. in Computer Science from the University of Milan, Italy, in 1998. She has been Visiting Researcher at the European Computer-Industry Research Center of Bull, ICL, and Siemens in Munich, Germany, and at the National University of Singapore. Her main research interests include: deductive and constraint databases, spatial and geographic databases, XML and Web databases, pattern management, indexing techniques, and access control. She is a member of the ACM.
Eliseo Clementini. 1990 Laurea degree in Electronics Engineering (Dr. Eng.) summa cum laude from the University of L'Aquila. 1/90 - 6/93 Research Associate. 7/93 -10/98 Assistant Professor of computer science at the Faculty of Engineering of the University of L'Aquila. 11/98 - to date Associate Professor of computer science at the Faculty of Engineering of the University of L'Aquila. Visiting researcher at Simon Fraser University, Canada, at Hiroshima University, Japan, at National Center for Geographic Information and Analysis, University of Maine, USA, at Technical University of Munich, Germany, and at Department of Geography and Geomatics, University of Glasgow, UK. His main research interests are about modelling and computational aspects of geographic information science.
Elena Ferrari is a full professor of Computer Science at the University of Insubria, Como (Italy). From 1998 until January 2001, she has been an assistant professor at the Department of Computer Science of the University of Milano (Italy). She received the MS degree in Computer Science from the University of Milano (Italy) in 1992. In 1998, she received a Ph.D. in Computer Science from the same university. During summer 1996 she has been a visiting researcher at the Department of Computer Science of George Mason University, Fairfax (Virginia). During summers 1997 and 1998 she has been a visiting researcher at Rutgers University, Newark (New Jersey). Her research activities are related to various aspects of data management systems, including web security, access control and privacy, multimedia databases, and temporal databases. She is a member of the ACM and senior member of IEEE.
Models for Representing Spatial Semistructured, Multiresolution, and Multiscale Data.- GeoMTGM: A Graphical Data Model for Semistructured, Geographical, and Temporal Data.- Out-of-core Multiresolution Terrain Modeling.- Progressive Techniques for Efficient Vector Map Data Transmission: An Overview.- Model Generalization and Methods for Effective Query Processing and Visualization in a WebService/Client Architecture.- Integration of Spatial Data Sources.- Automated Geographical Information Fusion and Ontology Alignment.- A Quality-enabled Spatial Integration System.- Using Qualitative Information in Query Processing over Multiresolution Maps.- Spatial Data Protection.- Access Control Systems for Geospatial Data and Applications.- Secure Outsourcing of Geographical Data Over the Web: Techniques and Architectures.- Information Hiding for Spatial and Geographical Data.- Innovative Applications for Mobile Devices.- Geographical Data Visualization on Mobile Devices for Useer's Navigation and Decision Support Activites.- Tracking of Moving Objects with Accuracy Guarantees.- Spatial Data on the Web: Issues and Challenges.- Spatial Data on the Web: Issues and Challenges.
