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  • Reproducible spatial analysis with ArcPy and R using Jupyter Notebook

    2,229 views 3 years ago
    Reproducibility, the ability of an entire study to be replicated, is one of the core concepts in data science. Although preparing data analyses so they are reproducible is not a trivial task, it can bring many benefits and make a researcher’s life much easier: it can help to save time by allowing reuse of code and results from past studies or by allowing application of previously defined methodologies on new data.

    Among the different tools that have been developed for helping (data) scientists to implement reproducible analyses, web-based notebooks are gaining increased popularity. These are interactive computational environments where code snippets, explanatory text, graphics and media can be integrated.

    In this video I explain how to use Jupyter Notebook to create a reproducible report that combine ArcPy- and R-based geospatial analyses.

    Find the notebook for the example shown in this video rendered on GitHub in this link: https://github.com/amsantac......

    See this video to learn how to install and configure Jupyter Notebook to work with ArcPy and R: https://youtu.be/wQk-0xETGbc

    Read the post in my blog to know more about the installation and configuration of Jupyter Notebook and to learn more on how to use it with ArcPy and R for spatial data processing: http://amsantac.co/blog/en/......

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