How to use H3 Hexagon Grids for Spatial Analysis and Mapping in Python

This overview and tutorial describes how to begin using the H3 spatial indexing system for geospatial analysis and spatial data science in Python using the H3 library. After a brief overview of the strengths of using hex grids, it covers how to convert latitude and longitude coordinates into H3 grid cells at different resolutions as well as how to create maps with the hexagonal cells using the Folium Python library.

H3 is a hierarchical spatial indexing system developed by Uber. Uber open sourced H3 in the programming language C in 2018 and there have been bindings released in additional programming languages, including Python, R, and Javascript. H3 is a powerful library that is optimized for machine learning projects.

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*Resources*
Code: https://github.com/deepcharts/H3-Intro
Data: https://www.denvergov.org/opendata/da...
H3 Website: https://h3geo.org/