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Map Reproducibility in Geoscientific Publications: An Exploratory Study

Authors Eftychia Koukouraki , Christian Kray

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Eftychia Koukouraki
  • Insitute for Geoinformatics, University of Münster, Germany
Christian Kray
  • Insitute for Geoinformatics, University of Münster, Germany

Acknowledgements

We would like to thank the authors who took the time to respond to our queries and helped us to overcome issues we faced in reproducing maps and the anonymous reviewers for their constructive feedback.

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Eftychia Koukouraki and Christian Kray. Map Reproducibility in Geoscientific Publications: An Exploratory Study. In 12th International Conference on Geographic Information Science (GIScience 2023). Leibniz International Proceedings in Informatics (LIPIcs), Volume 277, pp. 6:1-6:16, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023) https://doi.org/10.4230/LIPIcs.GIScience.2023.6

Abstract

Reproducibility is a core element of the scientific method. In the Geosciences, the insights derived from geodata are frequently communicated through maps, and the computational methods to create these maps vary in their ease of reproduction. In this paper, we present the results from a study where we tried to reproduce the maps included in geoscientific publications. Following a systematic approach, we collected 27 candidate papers and in four cases, we were able to successfully reproduce the maps they contained. We report on the approach we applied, the issues we encountered and the insights we gained while attempting to reproduce the maps. In addition, we provide an initial set of criteria to assess the success of a map reproduction attempt. We also propose some guidelines for improving map reproducibility in geoscientific publications. Our work sheds a light on the current state of map reproducibility in geoscientific papers and can benefit researchers interested in publishing maps in a more reproducible way.

Subject Classification

ACM Subject Classification
  • Human-centered computing → Geographic visualization
  • Applied computing → Cartography
Keywords
  • Reproducible Research
  • Reproduction Assessment
  • Map Making
  • Cartography

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