mountainMath / mountainMath/tongfen
exploit spatial autocorrelation in tongfen_estimate
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- Dominant language
- R
- Stars
- 28
- Forks
- 4
- Avg merge
- 10h 33m
- Merged PRs (30d)
- 1
Description
When estimating census variables on custom geographies using tongfen_estimate, either current area-based interpolation or enhanced using dasymmetric methods, there is a question where people in different categories live. We can exploit spatial autocorrelation across neighbouring regions to estimate the likelihood that people of certain characteristics cluster in different parts of a census polygon to enhance precision of the estimate.
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First steps
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Research direction
Start at tongfen_estimate and compare its current area-based interpolation with the enhanced dasymmetric methods. Define a spatial-autocorrelation approach using neighboring census regions, with completion measured by improved precision when estimating category distributions on custom geographies.
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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
- 25/100