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Cartography and Geographic Information Science Volume 46, 2019 - Issue 5
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Articles

In-depth examination of spatiotemporal figures in open reproducible research

Markus KonkolInstitute for Geoinformatics, University of Münster, Münster, GermanyCorrespondence[email protected]
ORCID Iconhttp://orcid.org/0000-0001-6651-0976View further author information
ORCID Icon &
Christian KrayInstitute for Geoinformatics, University of Münster, Münster, GermanyORCID Iconhttp://orcid.org/0000-0002-4199-8976View further author information
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Pages 412-427 | Received 11 Apr 2018, Accepted 13 Aug 2018, Published online: 19 Oct 2018

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Daniel Nüst & Edzer Pebesma. (2021) Practical Reproducibility in Geography and Geosciences. Annals of the American Association of Geographers 111:5, pages 1300-1310.
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Patrick J. Kennelly, Tom Patterson, Bernhard Jenny, Daniel P. Huffman, Brooke E. Marston, Sarah Bell & Alexander M. Tait. (2021) Elevation models for reproducible evaluation of terrain representation. Cartography and Geographic Information Science 48:1, pages 63-77.
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Articles from other publishers (5)

Antonio Paez. (2021) Reproducibility of Research During COVID‐19: Examining the Case of Population Density and the Basic Reproductive Rate from the Perspective of Spatial Analysis. Geographical Analysis 54:4, pages 860-880.
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Christian Hauschke, Daniel Nüst, Anette Cordts & Svantje Lilienthal. (2021) OPTIMETA – Strengthening the Open Access publishing system through open citations and spatiotemporal metadata . Research Ideas and Outcomes 7.
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Guillem Closa, Joan Masó, Núria Julià & Xavier Pons. (2021) Geospatial Queries on Data Collection Using a Common Provenance Model. ISPRS International Journal of Geo-Information 10:3, pages 139.
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Markus Konkol, Daniel Nüst & Laura Goulier. (2020) Publishing computational research - a review of infrastructures for reproducible and transparent scholarly communication. Research Integrity and Peer Review 5:1.
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Colin Fischer, Monika Sester & Steffen Schön. (2020) Spatio-Temporal Research Data Infrastructure in the Context of Autonomous Driving. ISPRS International Journal of Geo-Information 9:11, pages 626.
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