Reproducibility and Replicability in Geographical Analysis

Peter Kedron, Amy E. Frazier, Andrew B. Trgovac, Trisalyn Nelson, Stewart Fotheringham

Research output: Contribution to journalArticle

Abstract

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.

Original languageEnglish (US)
JournalGeographical Analysis
DOIs
StateAccepted/In press - Jan 1 2019

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spatial data
uncertainty
research results
research planning
data analysis
criticism
geography
communication
analysis
recommendation
method

ASJC Scopus subject areas

  • Geography, Planning and Development
  • Earth-Surface Processes

Cite this

Reproducibility and Replicability in Geographical Analysis. / Kedron, Peter; Frazier, Amy E.; Trgovac, Andrew B.; Nelson, Trisalyn; Fotheringham, Stewart.

In: Geographical Analysis, 01.01.2019.

Research output: Contribution to journalArticle

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