Walking on Hexagons: Unification of Urban Data with H3
We are proposing the use of H3, as a standard hexagonal discrete global grid system, to index data for analysis. When it comes to big data, H3 is uniquely suited to this analysis because of its hexago …
Talk Title | Walking on Hexagons: Unification of Urban Data with H3 |
Speakers | Isaac Brodsky (Senior Software Engineer, Uber), Sina Kashuk (Senior Data Scientist, Uber) |
Conference | Open Source Summit + ELC Europe |
Conf Tag | |
Location | Lyon, France |
Date | Oct 27-Nov 1, 2019 |
URL | Talk Page |
Slides | Talk Slides |
Video | |
We are proposing the use of H3, as a standard hexagonal discrete global grid system, to index data for analysis. When it comes to big data, H3 is uniquely suited to this analysis because of its hexagonal grid, suitability for distributed processing, and easy-to-use API. One of the applications of H3 is to combine datasets with different geographic shapes and forms into a unified dataset. In this talk, we will walk through an example of how to bring Lyon Open Data sets such as demographics, land use, elevation, street network, noise sensing, air pollution, and point of interest data to the hexagon level, analyze the data, and visualize the results to gain insights for better urban planning and management.The resulting analysis allows us to create new composite metrics such as walkability and quality of life. Our goal is to inspire city planners and data scientists to leverage the power of their data coupled with H3 geospatial tools in urban geospatial analytics.