scverse / scverse/spatialdata

Aggregate points by labels

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method: aggregation 🔢
Dominant language
Python
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Forks
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Avg merge
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Merged PRs (30d)
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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

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First steps

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  3. Fork the repository and make your change on a branch.
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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

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