Benchmark spatial partitioning in dask geopandas
Open
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 394
- Forks
- 95
- Avg merge
- 4d 3h
- Merged PRs (30d)
- 7
Description
Spatial partitioning with Dask geopandas is described here: https://dask-geopandas.readthedocs.io/en/stable/guide/spatial-partitioning.html
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Read the linked Dask-GeoPandas spatial-partitioning guide first, then locate the repository entry point for benchmarks. Add a reproducible benchmark for spatial partitioning and document how to run it and interpret completion; the issue names no files or tests.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data-engineering, performance
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100