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GeoSpatial Visual Analytics

Raffaele De Amicis

Published by Springer-Verlag Gmbh Jul 2009, 2009
ISBN 10: 9048128978 / ISBN 13: 9789048128976
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Title: GeoSpatial Visual Analytics

Publisher: Springer-Verlag Gmbh Jul 2009

Publication Date: 2009

Binding: Buch

Book Condition: Neu

Description:

Neuware - 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). 508 pp. Englisch. Bookseller Inventory # 9789048128976

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Synopsis: The extremely wide range of often multidimensional environmental information made available at the global scale poses a great challenge to technologists and scientists and intelligence specialists, to find extremely sophisticated yet effective ways to provide access to very relevant data patterns within such a vast and highly dynamic information flow. In the past years the domain of 3D scientific visualization has tried to provide a viable solution to operators willing to gain insight into the simulation results in a way that eases understanding of an evolving phenomenon. However 3D data visualization alone does not provide model and hypothesis-making and validation. In order to answer to this issue, in recent years research trends have brought to an effective combination of data mining and information visualization, often referred to as Visual Analytics (VA). The main goal of this volume is to pin-point critical issues, to define a priority list to be addressed by the research agenda as well as to put forward recommendations and guidelines. The resulting volume tackles a wide range of application domains, all relevant to environmental security, it highlights current industrial trends, technological requirements and, last but not least, possible emerging market interests.

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