Multivariate Color Scheme
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 20/100
- Issue type
- Feature
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- javascript
- Domain
- data-visualization
Research direction
Read the linked discussion in d3/d3-scale-chromatic#32 and review the related value-by-alpha and multivariate interpolation references. The issue asks how to design a multivariate color scheme for choropleth maps but does not identify files, tests, or a settled approach; first establish the intended API and blending behavior with the maintainers. Done means an agreed approach and implementation criteria.
Written by the indexing model from the issue text.
Description
As a follow-up to discussion in https://github.com/d3/d3-scale-chromatic/issues/32 , I'd like to pose the question of how to best calculate a multivariate color scheme. The use case is for building multivariate choropleth maps.
I'm investigating how one might approximate the colors of a dot density map, like this one.
The most sensible approach to me at the moment seems to be:
- Define multiple single-hue color ramps that vary in opacity from 0 to 1, for each variable.
- Blend those RGBA colors together.
Related:
- value-by-alpha concept.
- Multivariate interpolation
- Dominant language
- JavaScript
- Stars
- 1.6k
- Forks
- 288
- Avg merge
- 6h 41m
- Merged PRs (30d)
- 1
Getting set up
This project ships no dev container, Dockerfile or contributing guide, so setting up is up to you: start from its README, and see our first-contribution guide for the general steps.
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.
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