Add global livability heat map (65–74°F + low mosquitoes)

[SpyC0der77]

Summary

Adds a standalone climate analysis tool that identifies optimal places to live based on two combined criteria:

• Temperature: months with mean temperatures in the 65–74°F band
• Mosquitoes: low habitat suitability from temperature, humidity, and rainfall

Outputs

• climate-analysis/generate_livability_map.py — scoring and map generation script
• climate-analysis/output/livability_globe.html — interactive 3D globe heat map
• climate-analysis/output/livability_map.png — static world heat map
• climate-analysis/output/top_locations.json — ranked locations

Method

Climate normals are interpolated from 45 reference stations using inverse-distance weighting with a 900 km cutoff. Mosquito pressure is modeled as a climate proxy (not direct insect counts).

Top findings

1. Canary Islands — best overall balance of temperature and low mosquitoes
2. Southern Mexico highlands (Oaxaca area)
3. Madeira, Portugal
4. San Diego, CA — lowest mosquito burden among major US candidates

Run

python3 climate-analysis/generate_livability_map.py

Requires: numpy, plotly, cartopy, shapely, requests, kaleido (for PNG export).

  

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✨ Finishing Touches

🧪 Generate unit tests (beta)

• Create PR with unit tests
• Commit unit tests in branch cursor/climate-livability-map-eec2

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