Spatial Data on the Web

Spatial Data on the Web
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Modeling and Management
 eBook
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Artikel-Nr:
9783540698784
Veröffentl:
2007
Einband:
eBook
Seiten:
314
Autor:
Alberto Belussi
eBook Typ:
PDF
eBook Format:
Reflowable eBook
Kopierschutz:
Digital Watermark [Social-DRM]
Sprache:
Englisch
Beschreibung:

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.

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.

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.

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.

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