1) Some of the most popular map library frontends like Leaflet support only raster tile layers out of the box.
2) Quality vector generalization (feature-dropping) is much more difficult than raster generalization.
3) A large fraction of use cases just need a "good enough" basemap without those extra features.
I maintain a heavily used map of the US, and I found that storing data/serving in vector format seems to be the most efficient (on AWS s3 / DO spaces), and converting to raster in the browser or with a service call / lambda really opens the doors to a lot more use cases. I suspect parent can talk more about this than I can.
Too bad they couldn’t do Yew too. That is another top bow wood.
It had the ability to tune to the higher UHF channels 70-83 [0] which while planned for use in tv broadcast, never ended up being used, but they didn't know that at the time of the construction of the tv set. The frequency covered by those channels were reallocated in 1982 by the CCIR worldwide convention, and covered approximately 806 to 890mhz.
What was most interesting to me as a young teenager in the early 90s about this particular tv set, was that I found out I could hear an occasional phone call when tuned to those UHF channels, even more so when I used the fine tuning nob.
On a side note, the tv set also allowed me to view scrambled channels on the cable system which I could unscramble to various degrees by turning the tuning nob at certain rates back and forth. I suppose modern 90s systems were not designed with my old tv set in mind.
https://en.wikipedia.org/wiki/Television_channel_frequencies...
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It's a great data set, but it'll probably need some curation.
Really great idea to compress the spatial data into Paths.
I would suggest using Natural Earth data instead of OSM so you could drop the ODbL license.
It’d also be really cool if you included the tool that converts the spatial data into Paths.