The methodology of regional science is traditionally based on a sound mix of conceptual framing and operational (or applied) analysis. In recent years, we have witnessed an avalanche of new empirical data used in regional science research (e.g., social media, “big data,” sensor data, App data, etc.). Such new data emerge in particular as a result of digital technology applications and interactive media. But also in traditional statistical domains we observe a rapid expansion of the data base for regional science research, to the extent that a gradual shift from basic thinking toward applied research is taking place.

中文翻译：

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区域科学领域的新数据革命：致敬已故的斯坦·扎曼斯基

传统上，区域科学的方法基于概念框架和运营（或应用）分析的良好结合。近年来，我们目睹了区域科学研究中使用的大量新的经验数据（例如，社交媒体，“大数据”，传感器数据，App数据等）。这种新数据尤其是由于数字技术应用和交互式媒体而出现的。但是在传统的统计领域中，我们观察到区域科学研究的数据库正在迅速扩展，其程度正在逐渐从基本思想转向应用研究。