h3 VS Joplin

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).

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.

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.

> 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...

Uber just released their library to perform geospatial indexing - https://h3geo.org/. This might be an useful building block for you.

I've had great success with using Joplin for this, with Syncthing as a sync backend. Works well across OSes; I use it on Linux, macOS, Windows and Android.

https://joplinapp.org/

The tools to manipulate SQL aren't that bad, no.

But rather than having a self explanatory markdown & flat file, now I have to start learning about the schema & making specific tools (in my preferred language) for manipulating Joplin's schema.

Suddenly I'm digging through 20 different technic specs to decode what data is where, how it works, and what I can do to it. Want to edit history? This is the best help you'll get, pray it's adequately technical to expedite you to your purpose: https://github.com/laurent22/joplin/blob/dev/readme/dev/spec...

As I began with, I struggle to imagine anything that generates anywhere near as much user agency as flat files and markdown. Having boring common data & systems lets me apply portable skills I already have, rather than having to skill up in some particular product's own ecosystem.

Joplin is a good open source option too, feels more like the original Evernote in terms of UI/UX https://github.com/laurent22/joplin/

Joplin, an open source, extendable, Markdown-based hierarchical note-taking app: https://joplinapp.org/

It lets you choose a synchronization backend, offers applications for every major desktop and mobile OS (also has a terminal version). You can create notebooks and subnotebooks to organize your notes. You can also add tags for better search experience. I created notebooks for specific domains (work-related, home improvement, etc.) and also keep a "temp" for quick notes and W.I.P. snippets.

Its only con that it uses Electron on desktop which causes relatively slow start of the application.

done