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An interactive visualization companion to the 2019 Web Conference (WWW) paper 'Forecasting U.S. Domestic Migration Using Internet Search Queries' by Lin, Cranshaw, and Counts.
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README.md

Interactive Science: Forecasting Domestic Migration

An interactive visualization companion to the 2019 Web Conference (WWW) paper Forecasting U.S. Domestic Migration Using Internet Search Queries by Allen Yilun Lin (Northwestern University), Justin Cranshaw (Microsoft Research), and Scott Counts (Microsoft Research).

An interactive visualization companion to the 2019 Web Conference (WWW) paper 'Forecasting U.S. Domestic Migration Using Internet Search Queries' by Lin, Cranshaw, and Counts.

The interactive maps present 4.2 Million migration queries for housing and jobs between US States, a sample from the 121 Million migration queries used in the analysis presented in the paper. Numbers are rounded and content is very slightly altered for privacy reasons.

This repository is maintained by Matthew Brehmer.

Setup / Testing

  1. Open a terminal and navigate to this directory

  2. Start a python server with: python3 -m http.server 8080

  3. Open localhost:8080 in Chrome.

3rd party package dependencies

Acknowledgments

The tilegram SVG of the United States used in this project was created using Pitch Interactive's Tilegrams generator.

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