基于具身认知的沉浸式地理空间数据可视化研究

Qiuyu Liu, J. Pan, Gang Li
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引用次数: 1

摘要

地理空间数据是一种量大、结构复杂的大数据。传统的统计分析方法和数据可视化无法满足信息挖掘和分析的需求,而沉浸式地理空间数据可视化支持沉浸式数据分析,可以更好地指导用户进行有见地的分析和决策。本研究以具身认知理论为基础,结合沉浸式分析和地理空间可视化原理,提出了沉浸式地理空间可视化设计策略。并通过案例介绍了具身认知和沉浸式分析的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research of Immersive Geospatial Data Visualization based on Embodied Cognition
Geospatial data is a kind of big data with large quantities and complex construction. The conventional statistical analysis method and data visualization cannot meet the requirements of information mining and analysis, while the immersive geospatial data visualization supports the immersive data analysis and can better guide users to make insightful analysis and decision. This study takes embodied cognition theory as the foundation and combines the principles of immersive analysis and geospatial visualization to proposes some strategies of immersive geospatial visualization design. Moreover, a case study is used to introduce the application of embodied cognition and immersive analytics.
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