Virtual reality (VR) is a frequently emphasized issue on the Digital Earth (DE) agenda. While current DE research is more engaged in the technical aspects of VR applications, this paper focuses on what is possible with immersive virtual environments (IVE) from the user's perspective. After a brief discussion of spatial presence and embodiment in the context of IVE, both concepts will be merged into a geovisualization immersion pipeline (GIP) as a framework with which to systematically link technical and cognitive aspects of IVE. We will then analyze the general criteria that must be met by IVE in order to facilitate the experience of spatial presence. Adapting these criteria to the special requirements of geospatial data, a definition of geovisualization immersive virtual environments (GeoIVE) is formulated. Finally, the theoretical considerations of this paper are set into practice, using a GeoIVE of a coral reef ecosystem as an example. As we shall see, while GIS do not provide data models or data compatibility for direct visualization of GeoIVE on VR output devices, game engines can serve as middleware to fill this gap.
ARTICLE HISTORY
<p><strong>Abstract.</strong> Immersive technologies allow us to map physical reality by means of 4D virtual systems in ever higher spatial and temporal detail, up to a scale level of 1<span class="thinspace"></span>:<span class="thinspace"></span>1. This level of detail enables the representation of phenomena that have been widely ignored by the geovisualization research agenda as yet. An example for such a large scale phenomenon is the collective movement of animals, which can be modelled and visualized only at a fine grained spatio-temporal resolution. This paper focuses on how collective movement can be modelled in an immersive virtual reality (VR) geovisualization. In a brief introduction on immersion and spatial presence we will argue, that high fidelity and realistic VR can strengthen the users’ involvement with the issues visualized. We will then discuss basic characteristics of swarming in nature and review the principal models that have been presented to formalize this collective behavior. Based on the rules of (1) collision avoidance, (2) polarization, (3) aggregation and (4) self-organized criticality we will formulate a viable solution of modelling collective movement within a geovisualization immersive virtual environment. An example of use and results will be presented.</p>
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