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Accessible Poverty Estimates

We utilize random forests regressions and features derived from a range of geospatial datasets (nighttime lights, landcover, OpenStreetMap features, and more) to produce estimates of development indicators such as household wealth/poverty.
https://github.com/aiddata/accessible-poverty-estimates

Category: Sustainable Development
Sub Category: Population and Poverty

Keywords

equitable-ai geospatial-data machine-learning poverty-estimates

Last synced: about 10 hours ago
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Repository metadata

Exploring accessible methods and data to estimate poverty


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GitHub Events

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Committers metadata

Last synced: 6 days ago

Total Commits: 260
Total Committers: 4
Avg Commits per committer: 65.0
Development Distribution Score (DDS): 0.292

Commits in past year: 3
Committers in past year: 1
Avg Commits per committer in past year: 3.0
Development Distribution Score (DDS) in past year: 0.0

Name Email Commits
sgoodm s****n@a****u 184
Jacob Hall e****l@j****t 54
Eli Svoboda e****a@w****u 12
Sasan-Faraj 5****j 10

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Issue and Pull Request metadata

Last synced: 1 day ago

Total issues: 2
Total pull requests: 9
Average time to close issues: N/A
Average time to close pull requests: 5 days
Total issue authors: 1
Total pull request authors: 2
Average comments per issue: 0.0
Average comments per pull request: 0.22
Merged pull request: 5
Bot issues: 0
Bot pull requests: 0

Past year issues: 0
Past year pull requests: 0
Past year average time to close issues: N/A
Past year average time to close pull requests: N/A
Past year issue authors: 0
Past year pull request authors: 0
Past year average comments per issue: 0
Past year average comments per pull request: 0
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 0

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/aiddata/accessible-poverty-estimates

Top Issue Authors

  • GIS243 (2)

Top Pull Request Authors

  • jacobwhall (7)
  • sgoodm (2)

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Score: 3.6888794541139367