Abstract
We present a new interactive computational virtual reality (VR) visualization framework for geophysical Big Data and models for the development of immersive collaborative virtual reality applications with a focus on targeted processing and interaction of Big Data. The framework includes a high-performance scalable persistent storage solution for the spatial analysis of Geospatial Information System (GIS), which uses an engine based on efficient in-memory computing. To more effectively visualize and interact in a VR environment, a machine learning algorithm library is used for compressing and extracting visual data. The framework supports mainstream rendering engines and VR hardware. The framework is extensible, customizable, cross-platform, and it is based only on open source tools. A workflow was introduced, and the geophysical data visualization and interaction effects were demonstrated by taking the abyss data of the Mariana Trench as example.
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