WaPOR notebooks in repo

[mickwelli]

Proposed changes

Add wapor notebooks and loading function to tools.

Checklist (replace [ ] with [x] to check off)

• Remove any unused Python packages from Load packages
• Remove any unused/empty code cells
• Remove any guidance cells (e.g. General advice)
• Ensure that all code cells follow the PEP8 standard for code. The jupyterlab_code_formatter tool can be used to format code cells to a consistent style: select each code cell, then click Edit and then one of the Apply X Formatter options (YAPF or Black are recommended)
• Include relevant tags in the first notebook cell and re-use tags if possible
• Ensure appropriate colour schemes have been used to maximise accessibility for vision impairment. Test your images or learn more with Coblis or TPGI
• Clear all outputs, run notebook from start to finish, and save the notebook in the state where all cells have been sequentially evaluated

[mickwelli]

This draft PR contains materials for including WaPOR in the notebooks repo. They are:

• Datasets/WaPOR.ipynb
• Real_world_examples/Inspecting_WaPOR_through_time.ipynb
• Tools/deafrica_tools/load_wapor.py

There appears to be a conflict with gdal software preventing the loading of the wapordl package. This will need to be resolved before merging.

The package loading and installation cells will need to be removed and notebooks run completely before merging, as per checklist above.

[nanaboamah89]

Getting this error

[mickwelli]

Getting this error

Thanks Edward, yes @vikineema is working on resolving the issue with netcdf handling.

[mickwelli]

Hi @vikineema and @mpho-sadiki, the notebooks are now running and ready for your review thanks to the Sandbox image upgrade.

The notebooks for review are:

• Datasets/WaPOR.ipynb
• Real_world_examples/Inspecting_WaPOR_through_time.ipynb

These notebooks demonstrate the load_wapor_ds() and associated functions we built in Tools. I suggest that once we have indexed more WaPOR layers we update the Datasets notebook.