Time series web mapping with leaf map draft notebook

[s-m-t-c]

Proposed changes

This is a concept notebook for a functionality I haven't seen well documented for visualising time-series spatial data in a jupyter nb.

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

• [ ] Notebook created using the DEA-notebooks template
• [ ] 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 final notebook cell (refer to the DEA Tags Index, and re-use tags if possible)
• [ ] Clear all outputs, run notebook from start to finish, and save the notebook in the state where all cells have been sequentially evaluated
• [ ] Test notebook on both the NCI and DEA Sandbox (flag if not working as part of PR and ask for help to solve if needed)
• [ ] If applicable, update the Notebook currently compatible with the NCI|DEA Sandbox environment only line below the notebook title to reflect the environments the notebook is compatible with

[review-notebook-app[bot]]

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[robbibt]

Hey @s-m-t-c, thanks so much for putting this together - I think it will be a great addition to the repo (have been wanting to get some Leafmap examples in here for ages too). Unfortunately there's a bit of an issue with widgets on the Sandbox at the moment, causing the map to not appear for me:

This is currently being worked on, so will hopefully have a solution soon. The other thing we'll need to do is get leafmap installed by default on the Sandbox - do you currently install any specific version, or just pip install leafmap to get the latest?

[s-m-t-c]

@robbibt I understand you're still working on the widget issue. Use the latest version of leafmap for this.