Open Source Software in Action: Expanding the Spatial Equity Data Tool
summary
Spatial Equity Data Tool accepts point CSVs, returns demographic disparity and geographic disparity scores computed by Python running on AWS Lambda (typical run <10 seconds), with a March 2024 API and three wrapped R functions so analysts get one-call results. Documentation lives in a Quarto book; workflow uses Step Functions for branching logic. City of Los Angeles builds a custom RShiny budget-equity app and a contributed pull request adds ArcGIS feature-layer support.
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chapters (11)
- 0:00Spatial equity and trauma centers
- 2:30Spatial Equity Data Tool purpose
- 5:21Demographic and geographic disparity scores
- 7:52Tool use cases and interaction
- 8:54Choosing tools for technical challenges
- 9:37AWS Lambda for scalability
- 11:28AWS Step Functions orchestration
- 12:50API documentation with Quarto
- 15:03R package for power users
- 16:31Key takeaways and gains
- 17:35Q&A on geographic boundaries
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