• 3 Posts
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Joined 11 months ago
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Cake day: August 3rd, 2023

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  • Well, it’s a trade off.

    Under normal usage my idle CPU load is much higher and my fans are always on, however, in Linux they only turn on under load. I imagine this also ends up in an increase to my utility bill and ultimately the resources I consume.

    On the other hand, I recently spent about a week processing data at full CPU load and my system was nearly unusable. For a 12 YO machine I can’t really complain though.

    The ideal case would be having the option to easily prioritize processing vs responsiveness.





  • Desktop: Macintosh (<X) -> Windows (XP-10) w/occasional Ubuntu dual-boot (various DEs) -> Debian + Gnome

    Server: Ubuntu LTS -> Debian

    I’ve also had a number of used thinkpads over the years where I mostly ran Xubuntu and crunchbang.

    I still boot into Windows every month or so if I need to model something in Rhino (CAD). Couldn’t get it working in Wine and my 12 YO computer isn’t performant enough to run it in a VM. The last thread remaining and waiting to be cut…


  • Yes, only European cities covered by Eurostat. I tried to cover this in the about section but it basically boils down to processing time, my own available time and to a lesser extent storage.

    It took me more than a week to process 2013-2023 for the included areas, which is roughly 10TB of raw imagery (with less than 60% cloud cover).

    The Eurostat urban extents, for the most part, delineate urban areas with a detailed vector dataset. This is something that I also couldn’t find on a global scale.

    I’m not decided yet on expanding the extents, which also depends on if people actually find this useful. However, it is open source (AGPL) so it can easily be forked and adapted.













  • Interesting, but if I have to use Windows then I would consider Conda depending on my dependency situation.

    I don’t particularly like Conda, or Windows, but what I like even less is manually finding wheels for my project. For something like GDAL, I wouldn’t even try on Windows without Conda. I think it’s also easy for a beginner to get up and running with this setup.

    My preferred setup is pyenv on Linux with poetry :)