HPGVE - High Performance Geospatial Visual Exploration

We consider Query Driven Visual Exploration (QDVE) techniques as performance amplifiers of Advanced Geospatial Visualization (AGV) and Geospatial Visual Analytics (GVA). By examining the three Web-based Geospatial Visual Exploration (GVE) systems that we have designed and implemented for different application domains and geospatial data types, we recommend performance boosting techniques for Web-based GVE systems. We further present a new system design to visually explore the complex relationships among geographical, environmental and taxonomic components of global biodiversity data with higher level of performance. In addition to leveraging existing performance boosting techniques, the new deign utilizes massively data parallel computing power of GPUs that are already available on commodity personal computers for indexing and query processing

 

Related Publications:

1) (Technical Report) Boosting the Performance of Web-based GVE systems: Lessons and a New System Design on Biodiversity Explorations.

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