GeoSpatial Visual Analytics
. Ed(s): Amicis, Raffaele, de; Stojanovic, Radmila; Conti, Giuseppe
ISBN 10: 9048128986 ISBN 13: 9789048128983
Verlag: Springer, 2009
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Beschreibung
Beschreibung:
Proceedings of the NATO Advanced Research Workshop on Geographical Information Processing and Visual Analytics for Environmental Security, Trento, Italy, 13-17 October 2008 Editor(s): Amicis, Raffaele, de; Stojanovic, Radmila; Conti, Giuseppe. Series: NATO Security Through Science Series C (Closed):. Num Pages: 518 pages, biography. BIC Classification: RGW; TQD; UGN; UYZ. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 26. Weight in Grams: 1590. . 2009. Paperback. . . . . Books ship from the US and Ireland. Bestandsnummer des Verkäufers V9789048128983
Inhaltsangabe:
Access, distribution and processing of Geographic Information (GI) are basic preconditions to support strategic environmental decision-making. The heterogeneity of information on the environment today available is driving a wide number of initiatives, on both sides of the Atlantic, all advocating both the strategic role of proper management and processing of environme- related data as well as the importance of harmonized IT infrastructures designed to better monitor and manage the environment. The extremely wide range of often multidimensional environmental information made available at the global scale poses a great challenge to technologists and scientists to find extremely sophisticated yet effective ways to provide access to relevant data patterns within such a vast and highly dynamic information flow. In the past years the domain of 3D scientific visualization has developed several solutions designed for operators requiring to access results of a simulation through the use of 3D visualization that could support the understanding of an evolving phenomenon. However 3D data visualization alone does not provide model and hypothesis-making neither it provide tools to validate results. In order overcome this shortcoming, in recent years scientists have developed a discipline that combines the benefits of data mining and information visualization, which is often referred to as Visual Analytics (VA).
Reseña del editor: Proceedings of the NATO Advanced Research Workshop on Geographical Information Processing and Visual Analytics for Environmental Security, Trento, Italy, 13-17 October 2008
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Titel: GeoSpatial Visual Analytics
Verlag: Springer
Erscheinungsdatum: 2009
Einband: Softcover
Zustand: New
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Geospatial Visual Analytics: Geographical Information Processing and Visual Analytics for Environmental Security
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GeoSpatial Visual Analytics: Geographical Information Processing and Visual Analytics for Environmental Security (NATO Science for Peace and Security Series C: Environmental Security)
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Access, distribution and processing of Geographic Information (GI) are basic preconditions to support strategic environmental decision-making. The heterogeneity of information on the environment today available is driving a wide number of initiatives, on both sides of the Atlantic, all advocating both the strategic role of proper management and processing of environme- related data as well as the importance of harmonized IT infrastructures designed to better monitor and manage the environment. The extremely wide range of often multidimensional environmental information made available at the global scale poses a great challenge to technologists and scientists to find extremely sophisticated yet effective ways to provide access to relevant data patterns within such a vast and highly dynamic information flow. In the past years the domain of 3D scientific visualization has developed several solutions designed for operators requiring to access results of a simulation through the use of 3D visualization that could support the understanding of an evolving phenomenon. However 3D data visualization alone does not provide model and hypothesis-making neither it provide tools to validate results. In order overcome this shortcoming, in recent years scientists have developed a discipline that combines the benefits of data mining and information visualization, which is often referred to as Visual Analytics (VA). Artikel-Nr. 9789048128983
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