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Using GeoPandas for Geospatial Analysis in Python

Solution: Clipping and Merging

Explore how to apply spatial clipping and merging techniques in GeoPandas for geospatial data analysis. Learn to extract specific spatial features by clipping datasets and combine spatial information through merging. This lesson helps you understand practical coding solutions for these core geoprocessing tasks, enhancing your ability to manipulate and analyze spatial data within Python.

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Solution: Spatial clipping

Let's take a look at the solution for the DataFrame clipping challenge and review the code:

Python 3.10.4
import geopandas as gpd
# open the datasets
islands = gpd.read_file('minor_islands.geojson')
marine = gpd.read_file('marine_polys.geojson')
# select just the desired seas
black_caspian_seas = marine.query("name == 'Black Sea' or name == 'Caspian Sea'")
# clip the islands to the extents from the desired seas
clipped = islands.clip(black_caspian_seas)
# display the results
ax = clipped.plot(edgecolor='red', linewidth=3)
black_caspian_seas.plot(ax=ax, facecolor='none')
ax.set_ylabel('Latitude (degrees)')
ax.set_xlabel('Longitude (degrees)')
ax.figure.savefig('output/clipping.png', dpi=300)

In line 8, we select ...