mountainMath / mountainMath/tongfen
dasymmetric interpolation
Open
Nobody has claimed this yet.
enhancement
- Dominant language
- R
- Stars
- 28
- Forks
- 4
- Avg merge
- 10h 33m
- Merged PRs (30d)
- 1
Description
extend tongen_estimate to allow for effective dasymmetric interpolation.
Possible applications:
- use GHSL data to better estimate where people live, GHS-BUILT-S_GLOBE_R2023A should be useful for that. Download could focus on just Canada to provide fully-automated dasymmetric interpolation for all censuses in the satellite area (so back to 1975).
- Use custom data available at specific regions to pinpoint where people live, e.g. Metro Vancouver Land Use data that distinguishes residential from other land and the land use intensity.
- Anther option is to use geo-located address registries like the NAR to pinpoint dwelling units.
This will likely greatly improve accuracy when using tongfen_estimate
Contributor guide
No contributing guide indexed for this repository
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 tongen_estimate entry point and clarify how effective dasymmetric interpolation should be represented and configured. Define the supported input data and target use case before implementing the feature; done means tongen_estimate can use such data to produce improved estimates for a specified census area.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- r
- Domain
- data
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Active
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100