uber / uber/h3

Example H3 data sets

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help wanted
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Description

It would be nice to have a collection of data sets using H3 that folks can use for examples or are just generally useful.

Some ideas:

  • countries, US states, US zip codes as H3 cells at various resolutions
  • water vs land cells

https://geodatasets.readthedocs.io/en/latest/introduction.html is a Python package that does something similar, but for general geographic datasets.

Aside from what examples we want, I think we'd also need to decide:

  • what data format we'd use, or if we'd use multiple
  • how we store the examples---in the repo, or point to external hosting

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

The issue names no files, tests, or entry points to inspect. Start by resolving the proposed dataset scope, formats, and storage location with the maintainers; done means an agreed collection is added in the chosen format and location, with its intended examples documented.

Written by the indexing model from the issue text.

Assessment

Domain
data
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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