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We have the UCL template here that we have used across all other Python notebooks here https://github.com/aodn/imos-user-code-library/blob/feature/nesp/Python/templates/imos_Library_Template.ipynb Use that in any of the new notebooks, also feel free to contribute to the template if you have better ideas. |
Adding notebooks translated into R
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B-Stepin
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Mar 23, 2026
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All look ok, and the Styling is good.
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This pull request introduces significant enhancements to the NESP project, focusing on documentation, reproducibility, geospatial data analysis, and utility functions. The most important changes include the addition of new documentation and notebooks for both Python and R users, specification of Python environment and dependencies, and the introduction of a comprehensive utility module for data processing and visualization.
Documentation and Educational Resources:
README.mdwith setup and usage instructions for the NESP Python environment, including recommendations for environment management and launching Jupyter notebooks.h3.md, a slide-style technical introduction to the Uber H3 geospatial indexing system, covering concepts, technical features, and real-world applications.Environment and Dependency Management:
3.12) in.python-versionfor consistent environment setup.pyproject.tomlwith explicit dependencies for geospatial data analysis, visualization, and development, ensuring reproducibility and ease of installation.Utility Functions and Data Processing:
util.py, a comprehensive utility module providing functions for color mapping, hexbin visualizations, schema display, dataset size estimation, geodataframe creation, and H3 index generation for spatial analysis.