Python Geospatial Analysis Essentials Link

# Check CRS print(world.crs) # EPSG:4326 (Lat/Lon) world_meters = world.to_crs('EPSG:3857') # Web Mercator Or better for area: world.to_crs('EPSG:3395') Calculate area in square kilometers world['area_km2'] = world_meters.geometry.area / 10**6 print(world[['name', 'area_km2']].head())

conda install geopandas folium shapely matplotlib # or pip (may require system GDAL) pip install geopandas folium shapely matplotlib Let's load a natural Earth dataset (Geopandas can download sample data). Python GeoSpatial Analysis Essentials

Next week, I'll cover spatial autocorrelation (aka: "Is that cluster real or random?"). Until then, map something interesting. What geospatial project are you working on? Let me know in the comments below. # Check CRS print(world