You can find more information in the following pdf: https://www.pythongeospatialanalysis.com/en/latest/
# Display the map m This code loads a shapefile, creates a Folium map, and adds the data to the map.
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Geospatial data science is a rapidly growing field that combines principles from geography, computer science, and statistics to extract insights from location-based data. Python has become a popular choice for geospatial data science due to its extensive libraries and tools. In this text, we will explore the application of geospatial data science with Python.
Here is an example of how to use Geopandas and Folium to load and visualize geospatial data: applied geospatial data science with python pdf
# Add the data to the map folium.GeoJson(gdf.__geo_interface__).add_to(m)
# Create a Folium map m = folium.Map(location=[gdf.geometry.y.mean(), gdf.geometry.x.mean()], zoom_start=10) You can find more information in the following
https://github.com/geopandas/geopandas