XR-based interactive visualization platform for real-time exploring dynamic earth science data

IF 4.8 2区 环境科学与生态学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
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引用次数: 0

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 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.

Abstract Image

基于 XR 的交互式可视化平台,用于实时探索动态地球科学数据
从二维平面显示器到身临其境的全息三维环境,带来了可视化技术的进步。然而,对于身临其境空间中复杂的多维结构化或非结构化数据集,仍然缺乏有效的交互式可视化工具。为了弥补这一空白,我们开发了 MetIVA,这是一个最先进的多尺度交互式数据可视化平台,利用扩展现实(XR)和云渲染技术进行沉浸式数据探索。在本文中,我们首先概述了科学可视化的历史发展以及近年来向三维和高维可视化的转变,然后基本介绍了 MetIVA 的概念框架和平台结构,最后展示了从招募的潜在用户那里获得的评估结果。研究结果证实,MetIVA 是一个加速数据探索和决策过程的强大工具。其互动和直观的特点,以及正在进行的优化工作,使其成为地球科学领域研究人员和从业人员的宝贵工具。
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来源期刊
Environmental Modelling & Software
Environmental Modelling & Software 工程技术-工程:环境
CiteScore
9.30
自引率
8.20%
发文量
241
审稿时长
60 days
期刊介绍: Environmental Modelling & Software publishes contributions, in the form of research articles, reviews and short communications, on recent advances in environmental modelling and/or software. The aim is to improve our capacity to represent, understand, predict or manage the behaviour of environmental systems at all practical scales, and to communicate those improvements to a wide scientific and professional audience.
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