Übersicht			Auf mobile öffnen

Lieferstatus:	i.d.R. innert 14-24 Tagen versandfertig
Veröffentlichung:	Juli 2007
Genre:	EDV / Informatik
	Data Warehouse / Data Warehousing / Database / Datenbank / Datenbankprogrammierung / Erde (Planet) / Geologie / Erde (Planet) / Geowissenschaft / Geoinformationssystem - GIS / Geologie / Geologie und die Lithosphäre / Geowissenschaft / Informatik / Informationsmanagement / Data Warehouse / Informationsrückgewinnung, Information Retrieval / Informationssystem / Geoinformationssystem / Informationstechnik (IT), allgemeine Themen / informationstechnologie / Internet Guides und Onlinedienste / it / Programmieren (EDV) / Recherche - Information Retrieval / Technologie / Informationstechnologie
ISBN:	9783540698777
EAN-Code:	9783540698777
Verlag:	Springer Berlin Heidelberg
Einband:	Gebunden
Sprache:	English
Dimensionen:	H 241 mm / B 160 mm / D 23 mm
Gewicht:	658 gr
Seiten:	328
Zus. Info:	HC runder Rücken kaschiert
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

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.