Designing Virtual Spaces for Immersive Visual Analytics

Modern virtual reality (VR) technology has garnered significant attention in the geographic visualization community for its ability to immerse users within geospatial data sets. While immersion within one-to-one models of reality offers unique and powerful perspectives from which to view spatial data, VR also allows users to transcend the physical limitations of the real world, thereby allowing them to visualize, experience, and interact with spatial data at any scale, in any virtual environment, at any time. This paper presents a collection of 3D data-driven geovisualization case studies, implemented in an immersive virtual GIScience data visualization space (IVEVA). IVEVA was purposefully designed and developed to highlight the differences in spatial data type, the challenges associated with spatial data visualization in an immersive virtual environment, and the importance of adhering to the established design heuristics of cartography, human–computer interaction, and extended reality (XR) development. Through this process, we offer our observations on how well each data type fits this medium of visualization and interpretation, and how the design heuristics play out for an immersive virtual environment that extends the practicable space in which GIScience and visual analytics are performed. Finally, we offer our perspectives, from designing and developing this prototype, on the future for immersive interface-based GIScience.