8. Exploring Research Data Repositories with geoextent.¶
This notebook presents geoextent, a Python library for reliably extracting the geospatial and temporal extents of files, directories, and repository records.
To run the showcase notebook, install JupyterLab or the classic Jupyter Notebook and then start a local server as shown below.
If your IDE has support for the Jupyter format, installing
ipykernel might be enough.
We recommend running the below commands in a virtual environment as described here.
The notebook must be trusted.
cd showcase pip install -r requirements.txt pip install -r showcase/requirements.txt pip install -e . jupyter trust showcase/SG_01_Exploring_Research_Data_Repositories_with_geoextent.ipynb jupyter lab
Then open the local Jupyter Notebook server using the displayed link and open the notebook (
*.ipynb files) in the
Consult the documentation on paired notebooks based on Jupytext before editing selected notebooks.
How to cite¶
Garzón, Sebastian and Nüst, Daniel, 2021. Exploring Research Data Repositories with geoextent.
geoextent is licensed under MIT license, see file LICENSE.
Copyright (C) 2021 - o2r project.