mountainMath / mountainMath/tongfen

dasymmetric interpolation

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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

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. 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

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