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The challenges of a Big Data Earth

机译:大数据地球的挑战

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The potential of big data fused with the vision of a digital Earth offers powerful opportunities to deepen understanding of the whole Earth system and the management of a sustainable planet. It is important to stand back from often confusing detail to clarify what those opportunities are and how they might be seized. The essential scientific potential of data, big or small, is to reveal patterns, which have often been the fundamental first step in stimulating inquiry, leading to new questions, new perspectives and potentially to new answers. The digital revolution has created a “digital microscope” that permits us to see patterns that have not been seen before, and when coupled with machine learning technologies to analyse them in creating statistical predictions of the behaviour of both human and non-human systems. These potentials converge with the imperative to represent an Earth system with interacting non-human and human components, as a vital contribution to the understanding and actions required in working towards planetary sustainability. But a digital Earth is also capable of being represented mathematically as a digitally networked phenomenon, analogous to an analogue computer, and should be an important target for a Big Earth Data Journal. We should also return to Al Gore’s vision of an accessible digital Earth with wide usability. Pre-determining the separate functions of parallel digital Earths risks losing one of the great potentials of big data and learning algorithms, the identification and analysis of unanticipated relationships and processes.
机译:大数据的潜力与数字地球的愿景相融合,为深化对整个地球系统和可持续地球管理的理解提供了强大的机会。重要的是要退后经常混淆的细节,以澄清这些机会是什么以及如何抓住它们。无论大小,数据的基本科学潜力是揭示模式,这些模式通常是刺激查询的基本第一步,从而导致新的问题,新的观点以及潜在的新答案。数字革命创造了一个“数字显微镜”,使我们能够看到以前从未见过的模式,并结合机器学习技术对其进行分析,从而创建有关人类和非人类系统行为的统计预测。这些潜力与当务之急是代表一个具有相互作用的非人类和人类组成部分的地球系统,这是对实现行星可持续性所需的理解和行动的重要贡献。但是,数字地球也可以用数学方式表示为数字网络现象,类似于模拟计算机,并且应该成为《大地球数据期刊》的重要目标。我们还应该回到阿尔·戈尔(Al Gore)关于具有广泛可用性的可访问数字地球的愿景。预先确定并行数字地球的单独功能可能会失去大数据和学习算法,识别和分析意外关系和过程的巨大潜力之一。

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