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Spatial Data on the Web: Modeling and Management
 
 
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Spatial Data on the Web: Modeling and Management [Hardcover]

Alberto Belussi (Editor), Barbara Catania (Editor), Eliseo Clementini (Editor), Elena Ferrari (Editor)

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Book Description

3540698779 978-3540698777 September 10, 2007 1
This book focuses on the modeling and management of spatial data in distributed systems. The authors have structured the contributions from internationally renowned researchers into four parts. The book offers researchers 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.

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Editorial Reviews

Review

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)

From the Back Cover

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.

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Inside This Book (learn more)
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
using qualitative information, accuracy guarantees, model generalization, mobile guides, location server, geographical information fusion, cardinal directional relationships, most compatible neighbor, multiple map representations, triangle quadtree, triangle bintree, relational edge, road network representation, partition ids, final execution plan, secure outsourcing, binary forest, steganography systems, terrain data sets, global execution plan, using inductive inference, extracted mesh, multiresolution model, inductive inference process, complex node
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Berlin Heidelberg New York, Lecture Notes, Alberto Belussi, Barbara Catania, Computer Science, Sara Migliorini, Barbara Oliboni, Tracking of Moving Objects, Carlo Combi, Query Proc, Mehdi Essid, Alminas Civilis, International Conference, Geographical Data Visualization, Omar Boucelma, Leila De Floriani, Quality-enabled Spatial Integration System, Enrico Puppo, Out-of-core Multiresolution Terrain Modeling, Emanuele Danovaro, Progressive Techniques, Automated Geographical Information Fusion, Secure Outsourcing of Geographical Data, Spatial Data Handling, Computer Society
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Front Cover | Table of Contents | First Pages | Index | Surprise Me!
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