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Open AccessArticle

Web-Scale Multidimensional Visualization of Big Spatial Data to Support Earth Sciences—A Case Study with Visualizing Climate Simulation Data

by Sizhe Wang 1,2, Wenwen Li 1,* and Feng Wang 1
1
School of Geographical Sciences and Urban Planning, Arizona State University, Tempe, AZ 85287-5302, USA
2
School of Computing, Informatics and Decision Systems Engineering, Arizona State University, Tempe, AZ 85281, USA
*
Author to whom correspondence should be addressed.
Informatics 2017, 4(3), 17; https://doi.org/10.3390/informatics4030017
Received: 16 March 2017 / Revised: 14 June 2017 / Accepted: 24 June 2017 / Published: 26 June 2017
(This article belongs to the Special Issue Scalable Interactive Visualization)
The world is undergoing rapid changes in its climate, environment, and ecosystems due to increasing population growth, urbanization, and industrialization. Numerical simulation is becoming an important vehicle to enhance the understanding of these changes and their impacts, with regional and global simulation models producing vast amounts of data. Comprehending these multidimensional data and fostering collaborative scientific discovery requires the development of new visualization techniques. In this paper, we present a cyberinfrastructure solution—PolarGlobe—that enables comprehensive analysis and collaboration. PolarGlobe is implemented upon an emerging web graphics library, WebGL, and an open source virtual globe system Cesium, which has the ability to map spatial data onto a virtual Earth. We have also integrated volume rendering techniques, value and spatial filters, and vertical profile visualization to improve rendered images and support a comprehensive exploration of multi-dimensional spatial data. In this study, the climate simulation dataset produced by the extended polar version of the well-known Weather Research and Forecasting Model (WRF) is used to test the proposed techniques. PolarGlobe is also easily extendable to enable data visualization for other Earth Science domains, such as oceanography, weather, or geology. View Full-Text
Keywords: virtual globe; octree; vertical profile; big data; scientific visualization virtual globe; octree; vertical profile; big data; scientific visualization
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Wang, S.; Li, W.; Wang, F. Web-Scale Multidimensional Visualization of Big Spatial Data to Support Earth Sciences—A Case Study with Visualizing Climate Simulation Data. Informatics 2017, 4, 17.

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