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Reproducibility and Replicability in Geographical Analysis
Geographical Analysis ( IF 3.3 ) Pub Date : 2019-08-29 , DOI: 10.1111/gean.12221
Peter Kedron 1 , Amy E. Frazier 1 , Andrew B. Trgovac 1 , Trisalyn Nelson 1 , A. Stewart Fotheringham 1
Affiliation  

The scientific method is predicated on the assumption that research designs and results can be reproduced and replicated. However, recent findings in some disciplines suggest that many studies fail to reach this standard, moving issues surrounding reproducibility and replicability forward into the research agenda of those fields. While the topic has yet to become a point of controversy in geography, the intricacies of geographic phenomena and spatial data analysis make the field vulnerable to criticism. This commentary discusses how uncertainties related to the conception, measurement, analysis, and communication of geographic analyses contribute to difficulties in the reproduction and replication of geographic research. Investigating how these uncertainties collectively impact the reproducibility and replicability of spatial data analyses should be a critical focus of future Geographical Analysis research. A call to action for geographers to improve the reproducibility and replicability of their work and specific recommendations on how Geographical Analysis might facilitate this process conclude the commentary.

中文翻译:

地理分析中的可重复性和可重复性

科学方法的前提是可以复制和复制研究设计和结果。但是,一些学科的最新发现表明,许多研究未能达到这一标准,从而将围绕可再现性和可复制性的问题推向了这些领域的研究议程。尽管该主题尚未成为地理学争论的焦点,但复杂的地理现象和空间数据分析使该领域容易受到批评。该评论讨论了与地理分析的概念,度量,分析和交流有关的不确定性如何导致地理研究的复制和复制中的困难。研究这些不确定性如何共同影响空间数据分析的可重复性和可复制性,应该是未来地理分析研究的重点。呼吁地理学家采取行动以提高其工作的可重复性和可复制性,并就地理分析如何促进这一过程提供具体建议。
更新日期:2019-08-29
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