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This code provides an efficient method for visualizing and analyzing flood impacts using H3 spatial indexing and Folium mapping. We extract features from a sample cell and its neighboring cells within two hexagonal rings to analyze local traffic conditions. In this use case, we demonstrate how H3 can be applied to analyze and predict traffic congestion in San Francisco using historical GPS ride data and machine learning techniques.
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