Looking at John Snow’s Cholera Map from the Twenty First Century: A Practical Primer on Reproducibility and Open Science

Daniel Arribas-Bel (), Thomas Graaff () and Sergio J. Rey ()
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Daniel Arribas-Bel: University of Liverpool
Sergio J. Rey: Arizona State University

Chapter Chapter 17 in Regional Research Frontiers - Vol. 2, 2017, pp 283-306 from Springer

Abstract: Abstract This chapter (This manuscript is a chapter version of the original document, which is a reproducible online notebook. The entire, version-controlled project can be found online at: https://bitbucket.org/darribas/reproducible_john_snow.) presents an entirely reproducible spatial analysis of the classic John Snow’s map of the 1854 cholera epidemic in London. The analysis draws on many of the techniques most commonly used by regional scientists, such as choropleth mapping, spatial autocorrelation, and point pattern analysis. In doing so, the chapter presents a practical roadmap for performing a completely open and reproducible analysis in regional science. In particular, we deal with the automation of (1) synchronizing code and text, (2) presenting results in figures and tables, and (3) generating reference lists. In addition, we discuss the significant added value of version control systems and their role in enhancing transparency through public, open repositories. With this chapter, we aim to practically illustrate a set of principles and techniques that facilitate transparency and reproducibility in empirical research, both keys to the health and credibility of regional science in the next 50 years to come.

Keywords: Spatial Autocorrelation; Street Segment; Regional Science; Spatial Weight Matrix; Spatial Outlier (search for similar items in EconPapers)
Date: 2017
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DOI: 10.1007/978-3-319-50590-9_17

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