It is widely acknowledged that the emergence of “Big Data” is having a profound and often controversial impact on the production of knowledge. In this context, Data Science has developed as an interdisciplinary approach that turns such “Big Data” into information. This article argues for the positive role that Geography can have on Data Science when being applied to spatially explicit problems; and inversely, makes the case that there is much that Geography and Geographical Analysis could learn from Data Science. We propose a deeper integration through an ambitious research agenda, including systems engineering, new methodological development, and work toward addressing some acute challenges around epistemology. We argue that such issues must be resolved in order to realize a Geographic Data Science, and that such goal would be a desirable one.

中文翻译：

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地理数据科学

众所周知，“大数据”的出现对知识的产生具有深远且经常引起争议的影响。在这种情况下，数据科学已经发展成为一种跨学科的方法，可以将“大数据”转化为信息。本文论证了地理学在应用于空间显式问题时可以对数据科学发挥积极作用。反过来说，地理学和地理分析学可以从数据科学中学到很多东西。我们建议通过一项雄心勃勃的研究议程，包括系统工程，新方法论开发，来进行更深层次的整合，并努力解决认识论方面的一些严峻挑战。我们认为，必须解决这些问题才能实现地理数据科学，而这样的目标将是一个理想的目标。