Mapping Chinese Financed Development Projects Around the World Using OSM
summary
AidData maintains 13,427 projects from 2000–2017 totaling $843 billion and maps many by extracting OSM features (buildings, roads, industrial areas) to produce per-project GeoJSONs via the Overpass API and OSM to GeoJSON export. Coverage reaches about 60% for recent years across 140+ countries; examples include the Las Bambas copper mine in Peru where nighttime lights and mapped footprints reveal construction and operational impact. Workflow, tagging decisions, temporal uncertainty, and how to push validated project attributes back into OSM are described.
AI-written summary · about
chapters (6)
- 0:00Introduction to project
- 2:49What is development finance
- 7:03Case study Las Bambas mine
- 10:11Impact analysis with OSM
- 12:38Challenges using OSM
- 15:05Future plans and contributions
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