TY - JOUR
T1 - XR-based interactive visualization platform for real-time exploring dynamic earth science data
AU - Zhang, Xuelei
AU - Yang, Hu
AU - Liu, Chunhua
AU - Tong, Qingqing
AU - Xiu, Aijun
AU - Kong, Lingsheng
AU - Dan, Mo
AU - Gao, Chao
AU - Gao, Meng
AU - Che, Huizheng
AU - Wang, Xin
AU - Wu, Guangjian
N1 - This work was funded by the Excellent Young Scholars Fund of Jilin Province (No. 20240602020RC), the Youth Innovation Promotion Association of Chinese Academy of Sciences, China (No. 2022230), the National Natural Science Foundation of China (No. 42371154, 42171142, 42305171 & 41771071), the National Key Research and Development Program of China (No. 2019YFE0194500 & 2017YFC0212304), the European Union's Horizon 2020 Research and Innovation program (AQ-WATCH) under grant agreement No. 870301.
Publisher Copyright:
© 2024
PY - 2025/1
Y1 - 2025/1
N2 - 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 multiscale 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.
AB - 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 multiscale 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.
KW - Cloud rendering
KW - Data compression
KW - Earth science
KW - Extended reality (XR)
KW - Multi-dimensional data
KW - Multiscale visualization
UR - http://www.scopus.com/inward/record.url?scp=85203166022&partnerID=8YFLogxK
U2 - 10.1016/j.envsoft.2024.106193
DO - 10.1016/j.envsoft.2024.106193
M3 - Journal article
AN - SCOPUS:85203166022
SN - 1364-8152
VL - 183
JO - Environmental Modelling and Software
JF - Environmental Modelling and Software
M1 - 106193
ER -