Affiliation:
1. Research Center for Environmental Changes, Academia Sinica, Taipei City 106, Taiwan
2. Secretariat, Taoyuan City Government, Taoyuan City 330206, Taiwan
3. Department of Geography, National Taiwan Normal University, Taipei City 106, Taiwan
Abstract
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.
Funder
National Science and Technology Council of the Republic of China
Academia Sinica Sustainability Science Research Program
Subject
Applied Mathematics,General Mathematics
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