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Spatial Data on the Web Modeling and Management [Paperback]

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  • Category: Books (Computers)
  • ISBN-10:  3642089305
  • ISBN-10:  3642089305
  • ISBN-13:  9783642089305
  • ISBN-13:  9783642089305
  • Publisher:  Springer
  • Publisher:  Springer
  • Pages:  314
  • Pages:  314
  • Binding:  Paperback
  • Binding:  Paperback
  • Pub Date:  01-Mar-2010
  • Pub Date:  01-Mar-2010
  • SKU:  3642089305-11-SPRI
  • SKU:  3642089305-11-SPRI
  • Item ID: 100888223
  • List Price: $169.99
  • Seller: ShopSpell
  • Ships in: 5 business days
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  • Delivery by: Jul 03 to Jul 05
  • Notes: Brand New Book. Order Now.

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.

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 Veclƒ*
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