[CG&A paper presentation]
Authors: Paolo Angelelli, Steffen Oeltze, Judit Haász, Cagatay Turkay, Erlend Hodneland, Arvid Lundervold, Astri J. Lundervold, Bernhard Preim, Helwig Hauser
Abstract: This approach enables the visual exploration and analysis of large amounts of heterogeneous data, helping to generate and validate hypotheses. It uses a datacubebased model to handle overlapping data subsets. This enables seamless integration of the data during visualization and the linking of spatial and nonspatial views of the data.