Aggregate points by labels
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 394
- Forks
- 95
- Avg merge
- 4d 3h
- Merged PRs (30d)
- 7
Description
@giovp I would do this by rasterizing points using datashader, with sum into the same resolution of the labels and then calling the images by labels aggregation.
Note that for complex alignment there will be a mismatch until this is fixed: https://github.com/scverse/spatialdata/issues/165
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
Start by reading the proposed Datashader approach in this issue and the linked alignment issue, #165. Identify the existing points and labels aggregation entry points, then verify that points can be rasterized with sum at the labels' resolution. Done means aggregation by labels works for straightforward alignment, with the complex-alignment limitation documented until #165 is fixed.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100