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引用次数: 0

摘要

“东京”是将日本气象厅从1990年到2017年连续记录的东京气温数据可视化,然后以创造性的方式打印出来的生成艺术作品。艺术品中的彩色圆点反映了每天的温度。寒冷的日子用蓝色表示,而温暖的日子用橙色表示。使用自然现象有两个主要原因,比如在生成艺术创作中使用温度数据。首先,数据使我们能够接受和理解自然现象的不可预测性。其次,当与生成算法一起使用时,它使数据可视化成为可能,从而使我们能够创造抽象艺术。由于有大量的历史温度数据,如果没有计算机,这样的艺术品是不可能创作的。像噪音这样的简单模式并不总是随机的,而且经常包含可以和谐表达的重复模式。这些看似随机的点显示了炎热夏日的温度分布,可以被描绘成抽象艺术作品的图案。当应用于东京的温度数据时,所产生的类似污渍的图案是生成艺术绘画最吸引人的特征之一,如果没有生成算法,将难以表达。
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Tokyo
"Tokyo" is a generative artwork created by visualizing continuous recorded Tokyo temperature data obtained from the Japan Meteorological Agency from 1990 to 2017, and then printing out the result in a creative manner. The colored dots in the artwork reflect the temperature of each day. Cold days were colored in blue while warm days were displayed in orange. There are two primary reasons for using natural phenomena, such as temperature data in generative art creation. First, the data allows us to embrace and comprehend the unpredictability of natural phenomena. Second, when used with a generative algorithm, it makes possible data visualization in ways that allow us to create abstract art. Since there are massive amounts of historical temperature data, such artwork would be impossible to create without computers. Simple patterns like noise are not always random and often contain repeating patterns that can be expressed harmoniously. The seeming randomness of dots showing temperature distributions of hot summer days can be painted as patterns that result in abstract artwork. When applied to Tokyo temperature data, the stain-like patterns that resulted are among the most attractive characteristics of generative art painting and would be difficult to express without the generative algorithm.
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