Visibility has always been important in people's decisions about where to live and how to arrange their spaces. People make connections with what they can see. Being able to see prominent landmarks, such as certain mountain peaks, rivers or ancestral sites, could help reinforce a community's connection to its cultural and spiritual landscape.
A colleague asked me if the speed of the #ESRI #viewshed calculation could be improved. It took them 10.5 hours to compute 1800 viewsheds.
This was the first time I looked into #GRASS GIS [1] and the grass.jupyter package [2]. Computing time is now down to 2h 40 minutes for 1800 viewsheds (16 threads parallel processing, 32GB memory). See the notebook for my example walkthrough [3].
[1]: https://grass.osgeo.org/
[2]: https://grass.osgeo.org/grass83/manuals/libpython/grass.jupyter.html
[3]: https://alexanderdunkel.com/01_viewshedanalysis.html