How can I use geospatial data in Python?

How can I use geospatial data in Python?

You can use libraries like Geopandas, Folium, and Shapely to work with geospatial data in Python.

What is Geopandas and how does it help with geospatial data?

Geopandas extends Pandas to allow spatial operations on geometric types, making it easier to analyze geospatial data.

Can you give me an example of how to visualize geospatial data using Folium?

Sure! You can create a map with Folium by using the following code:

import folium

# Create a map centered at a specific location
m = folium.Map(location=[45.5236, -122.6750], zoom_start=13)

# Add a marker
folium.Marker([45.5236, -122.6750], popup='Portland').add_to(m)

# Save the map to an HTML file
m.save('map.html')

This will create an interactive map.

What other libraries should I consider for geospatial analysis?

In addition to Geopandas and Folium, you might want to explore libraries like Rasterio for raster data, Fiona for file access, and Shapely for geometric operations.