将序列分析引入经济地理学

Sebastian Losacker , Andreas Kuebart
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引用次数: 0

摘要

在这篇短文中,我们将向经济地理学介绍序列分析方法。序列分析是一套丰富的研究方法,在社会学、人口学和就业研究等多个社会科学学科中被广泛用于分析时间差异。然而,序列方法工具箱尚未得到经济地理学家的重视。序列分析方法可用于分析和理解各种现象随时间变化的模式和结构。它采用数学和统计技术来研究时间条件之间的顺序、持续时间和过渡。我们认为,序列分析在推进(演化)经济地理学研究方面具有巨大潜力。在本文中,我们解释了如何使用序列分析,思考了序列分析在经济地理学研究中的实证应用,并在一个使用案例中演示了序列分析的适用性。我们还在在线附录中提供了该用例的可重现 R 脚本和手册。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Introducing sequence analysis to economic geography

In this short paper, we introduce sequence analysis methods to economic geography. Sequence analysis is a rich set of research methods that is widely used to analyze temporal variance in several disciplines in the social sciences, including sociology, demography and employment research. However, the toolbox of sequence methods has yet to gain significant attention among economic geographers. Sequence analysis methods can be used to analyze and understand patterns and structures of various phenomena over time. It employs mathematical and statistical techniques to study the sequential order, duration, and transitions between temporal conditions. We argue that sequence analysis holds great potential for advancing research in (evolutionary) economic geography. In the paper, we explain how to use sequence analysis, we ponder on empirical applications for research in economic geography, and we demonstrate its applicability in a use case. We also provide a reproducible R script and manual for the use case in the online appendix.

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