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Refactors the README to clearly explain the purpose of Data Acorns, its relation to the `shellgame` and `geoDeltaAudit` R packages, and outlines the methodology and development stack. The previous content focused on app deployment, which was not the primary function of this repository.
A landing page for the **shellgame**and **geoDeltaAudit** R packages, providing documentation and quantification of perturbation in geographic population data workflows.
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This contains everything you need to run your app locally.
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## Overview
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View your app in AI Studio: https://ai.studio/apps/df2d31a9-7c1b-432e-b2bb-1ae090a692f3
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Data Acorns is dedicated to documenting and quantifying the uncertainties and perturbations introduced during population data processing, specifically focusing on geographic crosswalks and allocation methods.
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## Run Locally
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## Ecosystem
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**Prerequisites:** Node.js
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### shellgame
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An R package designed to audit geographic crosswalks and evaluate the fidelity of population data as it moves between different spatial resolutions.
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### geoDeltaAudit
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A diagnostic tool for quantifying spatial and demographic perturbation in population data, helping researchers understand the "delta" between source and target geographies.
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1. Install dependencies:
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`npm install`
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2. Set the `GEMINI_API_KEY` in [.env.local](.env.local) to your Gemini API key
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3. Run the app:
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`npm run dev`
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## Methodology
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The "Shell Game" refers to the complex movement and reallocation of population data points across administrative boundaries. Our protocol provides:
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-**Relational Sync:** Ensuring data invariants are maintained during spatial transitions.
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-**Integrity Audits:** Quantifying the loss or shifting of demographic signals.
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-**Transparency:** Clear documentation of how allocation decisions impact end-state data quality.
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