k82a
Joined 7 years ago
Joined 7 years ago
As a side note to HN readers, geospatial is a super interesting application/ specialization that you might consider getting into if you're looking to add more meaning and purpose to your programming or tech career. You're often working to improve quality of life for someone, there are lots of interesting companies, people are generally super friendly and accessible, and there's a wealth of interesting problems and challenges to work on. My 2 cents!
What about improvements in technology, what about different routes and distance each year, improvements in training, number of time trial or mountain stages, maybe there is more riding as a peloton in recent tours, resulting in higher averages?
It's refreshing when you find these interesting websites and articles, and it's also encouraging to know you're part of the solution when you build them.
How do the calculations go so smoothly? I mean for each pixel that is potentially in the shade there can be a many 'upstream' pixels in the direction that the light is coming from that could cause it to be shady if there was something high there. Doing that calculation for each pixel seems very intensive, or is it achieved in some other way?
https://johanneskopf.de/publications/pixelart/paper/pixel.pd...
Lots of other topics via the homepage as well: https://mathpages.com/