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Information Fusion and Geographic Information Systems (IF&GIS' 2015): Deep Virtualization for Mobile GIS: Lecture Notes in Geoinformation and Cartography

Editat de Vasily Popovich, Christophe Claramunt, Manfred Schrenk, Kyrill Korolenko, Jérôme Gensel
en Limba Engleză Hardback – 21 mai 2015
These Workshop Proceedings reflect problems concerning advanced geo-information science with a special emphasis on deep virtualization for mobile GIS. They present papers from leading scientists engaged in research on environmental issues from a modeling, analysis, information processing and visualization perspective, as well as practitioners involved in GIS and GIS applications development. The proceedings examine in detail problems regarding scientific and technological innovations and deep virtualization for mobile GIS, its potential applications, and the monitoring, planning and simulation of urban systems with respect to economic trends as related to: Artificial intelligence; Knowledge-based GIS; Spatial ontologies in GIS; Positioning and analyzing moving information; Energy GIS; GIS data integration and modeling; Environmental management; Urban GIS; Transportation GIS; Underwater acoustics and GIS; GIS and real-time monitoring systems; GIS algorithms and computational issues; Data reliability and quality assurance for open data; Spatial and data quality; and lastly Open source GIS.
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Specificații

ISBN-13: 9783319166667
ISBN-10: 3319166662
Pagini: 172
Ilustrații: VIII, 172 p. 71 illus., 59 illus. in color.
Dimensiuni: 155 x 235 x 17 mm
Greutate: 0.43 kg
Ediția:2015
Editura: Springer International Publishing
Colecția Springer
Seria Lecture Notes in Geoinformation and Cartography

Locul publicării:Cham, Switzerland

Public țintă

Research

Cuprins

Design and Development of Personal Geo Services for Universities.- Spatial analysis of peasants migrations in Russia/USSR in the First Quarter of the 20th century.- RM–A Referenced Routing Model to generate a semantic service of navigation in mobile devices.- Semantic Trajectories: A Survey from Modeling to Application.- Semantic Recommender System for Touristic Context Based on Linked Data.- Detecting Clustering Scales with the Incremental K-Function: Comparison Tests on Actual and Simulated Geospatial Datasets.- Crowd Computing Framework for Geo information Tasks.- Dynamic Resources Management in Agile GIS.- Application of GIS Technologies in Historic and Ethnographic Research.- Geo information Systems for Maritime Radar Visibility Zone Modelling.

Textul de pe ultima copertă

These Workshop Proceedings reflect problems concerning advanced geo-information science with a special emphasis on deep virtualization for mobile GIS. They present papers from leading scientists engaged in research on environmental issues from a modeling, analysis, information processing and visualization perspective, as well as practitioners involved in GIS and GIS applications development. The proceedings examine in detail problems regarding scientific and technological innovations and deep virtualization for mobile GIS, its potential applications, and the monitoring, planning and simulation of urban systems with respect to economic trends as related to: Artificial intelligence; Knowledge-based GIS; Spatial ontologies in GIS; Positioning and analyzing moving information; Energy GIS; GIS data integration and modeling; Environmental management; Urban GIS; Transportation GIS; Underwater acoustics and GIS; GIS and real-time monitoring systems; GIS algorithms and computational issues; Data reliability and quality assurance for open data; Spatial and data quality; and lastly Open source GIS.

Caracteristici

Describes the development of Geographic Information Systems with a specific focus on deep virtualization for mobile GIS Addresses several research issues concerning the modeling, analysis, information processing and visualization of geographical information with specific applications to positioning and analyzing moving information for Cyber GIS and Open Source GIS Reflects key challenges involved in multi-disciplinary approaches to data reliability and quality assurance for open data Includes supplementary material: sn.pub/extras