Geographic information is critical for many earth related geo-science applications such as building disaster planning, crisis management, early-warning systems and urban planning. Decision making in Geographic Information Systems (GIS) increasingly relies on analyses of spatial data in map-based formats. Maps are complex structures composed of layers created from distributed heterogeneous data belonging to the separate organizations. This thesis presents a distributed service architecture for managing the production of knowledge from distributed collections of archived observations and simulation data through integrated data-views. Integrated views are defined by a federation service (?federator?) located on top of the standard service components. Common GIS standards enable the construction of this system. However, compliance requirements for interoperability, such as XML-encoded data and domain specific data characteristics, have costs and performance overhead. We investigate issues of combining standard compliance with performance. Although our framework is designed for GIS, we extend the principles and requirements to general science domains.
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Ahmet Sayar has a Ph. D. from Indiana University Computer Science Department. He holds a master degree in Computer Science from Syracuse University and a Bsc. degree from Istanbul Technical University. His research interest is applications of Web technologies to problems in scientific computing and performance problems in distributed systems.
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Geographic information is critical for many earth related geo-science applications such as building disaster planning, crisis management, early-warning systems and urban planning. Decision making in Geographic Information Systems (GIS) increasingly relies on analyses of spatial data in map-based formats. Maps are complex structures composed of layers created from distributed heterogeneous data belonging to the separate organizations. This thesis presents a distributed service architecture for managing the production of knowledge from distributed collections of archived observations and simulation data through integrated data-views. Integrated views are defined by a federation service ( federator ) located on top of the standard service components. Common GIS standards enable the construction of this system. However, compliance requirements for interoperability, such as XML-encoded data and domain specific data characteristics, have costs and performance overhead. We investigate issues of combining standard compliance with performance. Although our framework is designed for GIS, we extend the principles and requirements to general science domains. 192 pp. Englisch. Bestandsnummer des Verkäufers 9783838319339
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Geographic information is critical for many earth related geo-science applications such as building disaster planning, crisis management, early-warning systems and urban planning. Decision making in Geographic Information Systems (GIS) increasingly relies o. Bestandsnummer des Verkäufers 5412605
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Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: Neu. Distributed GIS: Federation and performance evaluations | High performance, Federated, Service-oriented Geographic Information Systems and Geo-science Applications | Ahmet Sayar | Taschenbuch | 192 S. | Englisch | 2009 | LAP LAMBERT Academic Publishing | EAN 9783838319339 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 101444633
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Geographic information is critical for many earth related geo-science applications such as building disaster planning, crisis management, early-warning systems and urban planning. Decision making in Geographic Information Systems (GIS) increasingly relies on analyses of spatial data in map-based formats. Maps are complex structures composed of layers created from distributed heterogeneous data belonging to the separate organizations. This thesis presents a distributed service architecture for managing the production of knowledge from distributed collections of archived observations and simulation data through integrated data-views. Integrated views are defined by a federation service (¿federator¿) located on top of the standard service components. Common GIS standards enable the construction of this system. However, compliance requirements for interoperability, such as XML-encoded data and domain specific data characteristics, have costs and performance overhead. We investigate issues of combining standard compliance with performance. Although our framework is designed for GIS, we extend the principles and requirements to general science domains.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 192 pp. Englisch. Bestandsnummer des Verkäufers 9783838319339
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Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Geographic information is critical for many earth related geo-science applications such as building disaster planning, crisis management, early-warning systems and urban planning. Decision making in Geographic Information Systems (GIS) increasingly relies on analyses of spatial data in map-based formats. Maps are complex structures composed of layers created from distributed heterogeneous data belonging to the separate organizations. This thesis presents a distributed service architecture for managing the production of knowledge from distributed collections of archived observations and simulation data through integrated data-views. Integrated views are defined by a federation service ( federator ) located on top of the standard service components. Common GIS standards enable the construction of this system. However, compliance requirements for interoperability, such as XML-encoded data and domain specific data characteristics, have costs and performance overhead. We investigate issues of combining standard compliance with performance. Although our framework is designed for GIS, we extend the principles and requirements to general science domains. Bestandsnummer des Verkäufers 9783838319339
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