Overlay of two polygon layers
Going back to the land use and districts datasets, we will now combine both datasets in an overlay operation. Create a new GeoDataFrame consisting of the intersection of the land use polygons with each of the districts, but make sure to bring the attribute data from both source layers.
GeoPandas is already imported.
This exercise is part of the course
Working with Geospatial Data in Python
Exercise instructions
- Print the first rows of both datasets (
land_useanddistricts). - Create a new GeoDataFrame from the intersections of
land_useanddistricts. Assign the result to a variablecombined. - Print the first rows the resulting GeoDataFrame (
combined).
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Print the first five rows of both datasets
print(____)
print(____)
# Overlay both datasets based on the intersection
combined = geopandas.____(____, ____, how='____')
# Print the first five rows of the result
print(____)