602 Copyright © 2011, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited. Chapter 28 Raffaele De Amicis Fondazione Graphitech, Italy Giuseppe Conti Fondazione Graphitech, Italy Ambient Intelligence and Immersive Geospatial Visual Analytics ABSTRACT The unprecedented success of 3D geobrowsers, mostly due to the user-friendliness typical of their inter- faces and to the extremely wide set of information available, has undoubtedly marked a turning point within the geospatial domain, clearly departing from previous IT solutions in the feld of Geographical Information Systems (GIS). This technological great leap forward has paved the way to a new generation of GeoVisual Analytics (GVA) applications capable to ensure access, fltering and processing of large repositories of geospatial information. Within this context we refer to GeoVisual Analytics as the set of tools, technologies and methodologies which can be deployed to increase situational awareness by helping operators identify specifc data patterns within a vast information fow made of multidimensional geographical data coming from static databases as well as from sensor networks. This shift, which essentially follows the vision of a “Digital Earth” envisaged by Al Gore a decade ago, is bringing concepts typical of Ambient Intelligence to a wider, environmental scale. The chapter frst presents the reasons that have brought to such a radical shift and it highlights the profound implications at the technological and societal level. We further demonstrate how the domain of ambient intelligence is not any more spatially limited and how the combined use of AMI and VA can be essential for the development of new tools to be used at environmental scale level. The convergence of technologies typical of GVA with those of AmI can be crucial within several mission- critical tasks, typical for instance of environmental management and control. These can be signifcantly enhanced through the adoption of paradigms and technologies typical of Ambient Intelligence including DOI: 10.4018/978-1-61692-857-5.ch028