Check the Setup
- Python 3.10 or newer
- A notebook environment such as Jupyter or Google Colab
- A Python environment where GeoPandas can be installed
Microproduct Data GuideIntermediate
Natural Earth
Public-domain vector and raster layers at multiple scales for building maps, comparing regions, and learning practical geospatial analysis.
Report a ProblemAt a Glance
- Difficulty
- Intermediate — some data preparation helps
- Size
- Medium · ≤1 GB
- Formats
- Shapefile, SQLite, GeoPackage, GeoTIFF
- Access
- Download
- API Key
- Not Required
- Provider
- Natural Earth
- Updates
- Occasional
- Last Verified
- Sep 27, 2026
- Source Type
- Community Source
- Data Terms
- Public Domain
- Python Syntax Checked
From Source to Product Signal
Test a Product Idea in Four Steps
Natural Earth provides compact, public-domain layers designed for clear small-scale maps. Start with the 1:50m ocean mask and 1:10m populated places used as geography inputs by TitanSkies. These generalized layers are not authoritative for precise local boundaries or current population counts.
Access the Data
- 1.Open the official Natural Earth site and select the 1:50m Ocean and 1:10m Populated Places layers.
- 2.Download both ZIP files and place them beside your notebook.
3
Run the Python Example
Install the packages, then run the notebook cell.
python -m pip install geopandas
import geopandas as gpd
ocean = gpd.read_file("ne_50m_ocean.zip")
places = gpd.read_file("ne_10m_populated_places.zip")
print(f"{len(ocean)} ocean polygons; {len(places)} populated places")
print(places[["NAME", "POP_MAX"]].head())4
Test a Useful Signal
Map Ocean Coverage and Populated Places
Test whether generalized ocean and city layers can support a regional map.
- 01Inspect each layer's geometry type and coordinate reference system.
- 02Filter populated places to one region and check for missing names or population estimates.
- 03Create the map and explain why generalized oceans and place estimates cannot establish exact local coverage.
Dataset Details
Natural Earth is a community source. Last verified 2026-09-27. Temporal coverage: not applicable.
Domains
Data Types
Geography
Provider
Natural Earth
Data Terms
Public Domain