Xr-Based Interactive Visualization Platform for Real-Time Exploring Dynamic Earth Science Data

35 Pages Posted: 22 Mar 2024

See all articles by Xuelei Zhang

Xuelei Zhang

affiliation not provided to SSRN

Hu Yang

affiliation not provided to SSRN

Chunhua Liu

affiliation not provided to SSRN

Qingqing Tong

affiliation not provided to SSRN

Aijun Xiu

affiliation not provided to SSRN

Lingsheng Kong

affiliation not provided to SSRN

Mo Dan

affiliation not provided to SSRN

Chao Gao

affiliation not provided to SSRN

Meng Gao

Hong Kong Baptist University (HKBU) - Department of Geography

Huizheng Che

China Academy of Meteorological Sciences

Xin Wang

Lanzhou University

Guangjian Wu

affiliation not provided to SSRN

Abstract

The transition from 2D planar displays to immersive holographic 3D environments has brought advancements in visualization technology. However, there remains a lack of effective interactive visualization tools for complex multi-dimensional structured or unstructured datasets in immersive space. To address this gap, we have developed MetIVA, a state-of-the-art multi-scale interactive data visualization platform that leverages the Extended Reality (XR)  and cloud rendering technology for immersive data exploration. In this paper, we firstly outline the historical development of scientific visualization and the recent shift towards 3D and higher-dimensional visualization, and then basically introduce the conceptual framework and  platform structure of MetIVA, and finally present  the evaluation results from recruited potential users. The results confirm that MetIVA is a powerful tool to accelerate data exploration and decision-making processes. Its interactive and intuitive features, along with ongoing optimization efforts, make it a valuable tool for researchers and practitioners in the field of Earth science.

Keywords: Multi-dimensional data, Extended Reality (XR), Multi-scale visualization, Data compression, Cloud rendering, Earth science

Suggested Citation

Zhang, Xuelei and Yang, Hu and Liu, Chunhua and Tong, Qingqing and Xiu, Aijun and Kong, Lingsheng and Dan, Mo and Gao, Chao and Gao, Meng and Che, Huizheng and Wang, Xin and Wu, Guangjian, Xr-Based Interactive Visualization Platform for Real-Time Exploring Dynamic Earth Science Data. Available at SSRN: https://ssrn.com/abstract=4769475 or http://dx.doi.org/10.2139/ssrn.4769475

Xuelei Zhang (Contact Author)

affiliation not provided to SSRN ( email )

Hu Yang

affiliation not provided to SSRN ( email )

Chunhua Liu

affiliation not provided to SSRN ( email )

Qingqing Tong

affiliation not provided to SSRN ( email )

Aijun Xiu

affiliation not provided to SSRN ( email )

Lingsheng Kong

affiliation not provided to SSRN ( email )

Mo Dan

affiliation not provided to SSRN ( email )

Chao Gao

affiliation not provided to SSRN ( email )

Meng Gao

Hong Kong Baptist University (HKBU) - Department of Geography ( email )

Huizheng Che

China Academy of Meteorological Sciences ( email )

China

Xin Wang

Lanzhou University ( email )

222 Tianshui South Road
Chengguan
Lanzhou, 730000
China

Guangjian Wu

affiliation not provided to SSRN ( email )

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