License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.GIScience.2023.6
URN: urn:nbn:de:0030-drops-189015
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2023/18901/
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Koukouraki, Eftychia ; Kray, Christian

Map Reproducibility in Geoscientific Publications: An Exploratory Study

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LIPIcs-GIScience-2023-6.pdf (6 MB)

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.

BibTeX - Entry

@InProceedings{koukouraki_et_al:LIPIcs.GIScience.2023.6,
  author =	{Koukouraki, Eftychia and Kray, Christian},
  title =	{{Map Reproducibility in Geoscientific Publications: An Exploratory Study}},
  booktitle =	{12th International Conference on Geographic Information Science (GIScience 2023)},
  pages =	{6:1--6:16},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-288-4},
  ISSN =	{1868-8969},
  year =	{2023},
  volume =	{277},
  editor =	{Beecham, Roger and Long, Jed A. and Smith, Dianna and Zhao, Qunshan and Wise, Sarah},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2023/18901},
  URN =		{urn:nbn:de:0030-drops-189015},
  doi =		{10.4230/LIPIcs.GIScience.2023.6},
  annote =	{Keywords: Reproducible Research, Reproduction Assessment, Map Making, Cartography}
}

Keywords: Reproducible Research, Reproduction Assessment, Map Making, Cartography
Collection: 12th International Conference on Geographic Information Science (GIScience 2023)
Issue Date: 2023
Date of publication: 07.09.2023
Supplementary Material: Collection (Papers): https://doi.org/10.17605/OSF.IO/P5V2Z

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