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Natural Earth provides public domain map datasets at various scales, covering physical and cultural features such as coastlines, rivers, cities and political boundaries.
Engineers use `geopandas.read_file()` to load Natural Earth Shapefiles directly from URLs or local downloads. The `cartopy` library includes Natural Earth data natively. Engineers join Natural Earth country polygons with indicator data using ISO codes for choropleth mapping.
Natural Earth geographic boundaries are essential infrastructure for location-aware AI. Use the vector data to train spatial AI models that understand country shapes and administrative boundaries, or as base geometry data for LLM agents that need to reason about geographic containment and proximity.
# pip install geopandas matplotlib
import geopandas as gpd
# Load country boundaries directly from Natural Earth URL
url = "https://naturalearth.s3.amazonaws.com/50m_cultural/ne_50m_admin_0_countries.zip"
world = gpd.read_file(url)
print(world[["NAME", "POP_EST", "GDP_MD"]].nlargest(10, "POP_EST"))
world.plot(column="GDP_MD", cmap="Blues", legend=True, figsize=(15, 8))Official dataset source
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