Look into H3, walkthru.earth indices and elevation data

[diegoripley]

I have been plagued with analysis paralysis when it comes to structuring Data for Canada's data into a grid. Do a small trial-run of the H3 grid [1].

[1] https://h3geo.org/

TODO

• Look into earth's living indices web application
• Look into walkthru.earth DEM-Terrain and Walkthru-Indices
• Integrate the two datasets above with some of Data for Canada's data, for example Census data. Make sure to do a robust methodology.
  • If 80% of a Census geography lies in X H3 grid, assign 80% of the values to it...unless you have building data, in which case you can get creative and make assumptions. Do not worry too much about this methodology, just get something to show.

[diegoripley]

This was mentioned by Francis Charette Migneault in the Cloud Native Geospatial Forum slack channel.

https://github.com/crim-ca/ogc-dggs/blob/main/canada-population/data_preparation.ipynb

[diegoripley]

Posted by Francis Charette Migneault as well:

• https://github.com/LandscapeGeoinformatics/pydggsapi
• And can be seen at https://hirondelle.crim.ca/dggs-api/docs and https://hirondelle.crim.ca/dggs-api/