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  1. Using a segmentation neural network to detect objects in satellite raster data is now a fairly common GeoAI use case, and can be done in a broad-brush sense with no-code or low-code tools.

  2. Bookstores have a lot of printed world atlases, which are nice to look at but have the trade off that each country is shown either once with a tradeoff of physical and political attributes, or in multiple maps that are not overlaid.

  3. OpenStreetMap and the OSMnx add-on for viewing streets as a network can be used to find the steepest streets in a neighborhood.

  4. My brother Andrew wrote a walking tour of the historical roots of the modern steel industry, Sheffield’s Don Valley for his blog.