Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	November 2009
Genre:	Naturwissensch., Medizin, Technik
	Bildverarbeitung / C / Computer Imaging, Vision, Pattern Recognition and Graphics / Computer Vision / Earth and Environmental Science / Earth Sciences / Environmental Monitoring / Environmental Science and Engineering / Environmental Sciences / Geographical Information System / Geographical information systems / Geographical information systems & remote sensing / Geographical Information Systems/Cartography / Geographische Informationssysteme (GIS) und Fernerkundung / geology / Geology, geomorphology & the lithosphere / Image processing / Monitoring/Environmental Analysis / Optical data processing / Umweltüberwachung (Umwelt-Monitoring) / User interface design & usability / User interfaces (Computer systems) / User Interfaces and Human Computer Interaction mehr...
ISBN:	9789048128983
EAN-Code:	9789048128983
Verlag:	Springer EN
Einband:	Kartoniert
Sprache:	English
Serie:	NATO Science for Peace and Security Series C: Environmental Security
Dimensionen:	H 235 mm / B 155 mm / D 33 mm
Gewicht:	1590 gr
Seiten:	518
Illustration:	X, 508 p.
Zus. Info:	EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025.
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

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).