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The Potential of Notebooks for Scientific Publication, Reproducibility and Dissemination

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  • Francisco Rowe
  • Gunther Maier
  • Daniel Arribas-Bel
  • Sergio Rey

Abstract

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Suggested Citation

  • Francisco Rowe & Gunther Maier & Daniel Arribas-Bel & Sergio Rey, 2020. "The Potential of Notebooks for Scientific Publication, Reproducibility and Dissemination," REGION, European Regional Science Association, vol. 7, pages 1-5.
    • Handle: RePEc:wiw:wiwreg:region_7_3_357
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    File URL: https://openjournals.wu.ac.at/ojs/index.php/region/article/view/357/version/276
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    References listed on IDEAS

    as
    1. Thomas Wieland, 2020. "REAT: A Regional Economic Analysis Toolbox for R," REGION, European Regional Science Association, vol. 7, pages 1-57.
    2. Sam Comber, 2019. "Demonstrating the utility of machine learning innovations in address matching to spatial socio-economic applications," REGION, European Regional Science Association, vol. 6, pages 17-37.
    3. C. Glenn Begley & Lee M. Ellis, 2012. "Raise standards for preclinical cancer research," Nature, Nature, vol. 483(7391), pages 531-533, March.
    4. Mauricio Sarrias, 2020. "Random Parameters and Spatial Heterogeneity using Rchoice in R," REGION, European Regional Science Association, vol. 7, pages 1-19.
    5. Jonathan Reades, 2020. "Teaching on Jupyter: Using notebooks to accelerate learning and curriculum development," REGION, European Regional Science Association, vol. 7, pages 21-34.
    6. Sierdjan Koster; Francisco Rowe, 2019. "Fueling Research Transparency: Computational Notebooks and the Discussion Section," REGION, European Regional Science Association, vol. 6, pages 1-2.
    7. Geoff Boeing, 2020. "Urban Street Network Analysis in a Computational Notebook," REGION, European Regional Science Association, vol. 7, pages 39-51.
    8. Jonathan Reades, 2020. "Teaching on Jupyter: Using notebooks to accelerate learning and curriculum development," REGION, European Regional Science Association, vol. 7, pages 21-34.
    9. Dominik Fahrner & Meixu Chen & Daniel Arribas-Bel & Francisco Rowe, 2020. "A reproducible notebook to acquire, process and analyse satellite imagery: Exploring long-term urban changes," REGION, European Regional Science Association, vol. 7, pages 15-46.
    10. Dominik Fahrner & Meixu Chen & Daniel Arribas-Bel & Francisco Rowe, 2020. "A reproducible notebook to acquire, process and analyse satellite imagery: Exploring long-term urban changes," REGION, European Regional Science Association, vol. 7, pages 15-46.
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    Cited by:

    1. Antonio Páez, 2021. "Open spatial sciences: an introduction," Journal of Geographical Systems, Springer, vol. 23(4), pages 467-476, October.
    2. Dani Arribas-Bel & Mark Green & Francisco Rowe & Alex Singleton, 2021. "Open data products-A framework for creating valuable analysis ready data," Journal of Geographical Systems, Springer, vol. 23(4), pages 497-514, October.

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