starlink-coverage
h3
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| starlink-coverage | h3 | |
|---|---|---|
| 3 | 21 | |
| 62 | 4,593 | |
| - | 2.2% | |
| 1.3 | 7.2 | |
| 12 months ago | 1 day ago | |
| Python | C | |
| - | Apache License 2.0 |
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Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
starlink-coverage
- I made a Starlink Availability map
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SpaceX's New FCC Filing Requests to Operate Starlink 'In Moving Vehicl
Thanks. I dug around for the answer I was looking at.
> Each cell covers 324.29km^2 on average.
https://github.com/sebsebmc/starlink-coverage
- How bad of an idea is it to order if we are moving 10 miles away?
h3
- H3: Hexagonal hierarchical geospatial indexing system
- Evaluation of Location Encoding Systems
- Not sure if this is the worst or most genius indentation I've seen
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A population density map of the state of Pennsylvania
It looks like the base Kontur dataset uses H3 resolution 8, and there’s a lookup table here. “400m” seems to refer to the edge length (which averages to 461m).
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[ANN] HexTree: geographical region-to-value mapping
I can speak to quadtrees, but the primary reason for using this is that you need a geographic "dictionary" (not using the word map to avoid confusion with charts), and you're perhaps already using the H3 hexagonal grid system.
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What's everyone working on this week (34/2022)?
HexSet: is a way of storing a set of H3 cells in a tree, and doing fast (2-20 ns on my 2013 trashcan Mac Pro) membership tests. You must first convert the input data (e.g. GeoJSoN polygon) into H3 cells.
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Surprising result while transpiling C to Go
> What an amazing tool that can completely change function names when it converts from C to Go.
How can one read the code of the benchmark, then switch into virulent sarcasm mode without trying to understand the code? And seeing "+1" comments without any effort to understand is also disheartening.
The blog post had a link about the Go helper functions the author used. It lands on https://github.com/akhenakh/goh3/blob/main/h3.go This shows that the `FromGeo()` function used by the Go benchmark is a helper that calls transpiled functions. The benchmark code itself was of course not transpiled, so the sarcasm was unneeded and wrong.
If anyone wants to dig in deeper, the C function `latLngToCell()` calls 2 functions, see https://github.com/uber/h3/blob/master/src/h3lib/lib/h3Index...
- Completely ignorant Newbie needing help with launching Ubers H3 Software.
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Anyone doing geospatial queries? NoSQL? Amazon Location Service?
Uber just released their library to perform geospatial indexing - https://h3geo.org/. This might be an useful building block for you.
What are some alternatives?
dishy_grafana - Starlink Dishy Grafana Dashboards
S2 geometry - S2 geometry library in Go