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Using GeoPandas for Geospatial Analysis in Python

Solution: Basic I/O

Explore how to import and export geospatial data using GeoPandas in Python. Understand reading datasets from URLs, exporting files as KML, and visualizing data with choropleth maps. This lesson provides practical steps for handling geospatial I/O operations efficiently.

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Solution: Exporting data to KML

Let's take a look the the solution and review the code.

Python 3.8
import geopandas as gpd
import fiona
import geodatasets
# Update fiona supported drivers
fiona.supported_drivers.update({'KML': 'w'})
# Open the natural earth dataset
n_earth = geodatasets.get_path('naturalearth.land')
gdf = gpd.read_file(n_earth)
# Save the file using the KML driver
gdf.to_file('output/naturalearth.kml', driver='KML')

  • Lines 1–3: Import the necessary packages ...