由离散变量和连续变量组成的时空多变量数据可视化:面向大众的方法

Chong-En Li, Bing-Wen Wu, Nae-Wen Kuo, Mei-Hua Yuan
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引用次数: 0

摘要

多变量数据的可视化可能具有挑战性,尤其是对普通大众而言。困难不仅在于如何展示数据,还在于如何理解数据。早期的文献确定了包括切尔诺夫面在内的各种方法,但这些方法往往有很大的缺陷,使其在解释上具有挑战性。后来,又引入了其他技术,如散点图、平行坐标图和动态图形。然而,这些方法中的很多在创建和解释上都很复杂,尤其是在可视化高维数据时。此外,同时表示离散方面(包括 "空间")和连续方面(包括 "时间")也是另一个挑战。本研究提出了一种名为 "Δ表"(delta 表)的新方法,可将由离散变量和连续变量组成的时空多元数据转换为表格格式。Δ表被认为更便于大众使用,这是它与以往方法相比的最大优势。最后,我们以近几十年来世界发达经济体、新兴工业化经济体和发展中经济体脱钩的案例研究为例,尝试应用Δ表。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Visualizing Space–Time Multivariate Data Consisting of Discrete and Continuous Variables: A Method for the General Public
Visualizing multivariate data can be challenging, especially for the general public. The difficulties extend beyond determining how to present the data; they also involve comprehension. Early literature has identified various methods, including Chernoff’s face, but these methods often have significant drawbacks, making them challenging to interpret. Subsequently, other techniques, such as scatterplots, parallel coordinate plots, and dynamic graphics, have been introduced. However, many of these methods can be intricate to create and interpret, particularly when visualizing high-dimensional data. Additionally, simultaneously representing discrete aspects (including “space”) and continuous aspects (including “time”) presents another challenge. This study proposes a novel approach named the “Δ table” (delta table), which transforms space–time multivariate data consisting of discrete and continuous variables into a tabular format. The Δ table is believed to be more user-friendly for the general public, which is its most significant advantage compared to previous methods. Finally, we used a case study of the decoupling of the world’s developed, newly industrialized, and developing economies in recent decades as an example of an attempt to apply the Δ table.
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