We use Uber's open source hexagonal grid system, H3, to maintain the health of the Uber marketplace. We use sets of hexagons known as clusters as a flexible way to define geos coarser than a hexagon & finer than an entire city. Come learn about the key concepts of H3, how we use hexagon clusters to identify city cores, & about the data platform we built to serve hexagon clustering.

Agenda:
5:30PM - Doors Open
6:00PM - Introducing H3
6:20PM - Engineering an H3-based Geospatial Data Platform at Uber
7:40PM - Building City Cores with H3
8:00PM - Q&A & Networking

More on the talks:

Introducing H3 by Nick Rabinowitz

H3 is Ubers open source hexagonal hierarchical geospatial indexing system. H3 is used to index geospatial data in Ubers marketplaces, supporting analysis, operations, & machine learning. This introduction will cover the basics of the system, including how the grid is constructed, common grid operations, & an overview of the kinds of use cases H3 enables.

Engineering an H3-based Geospatial Data Platform at Uber by Guocheng Xie & Ankit Mehta

Uber operates in the physical world, making tons of decisions to set people & cars in motion, both in real-time & offline. H3 has gained its popularity due to its rich support at Uber & has now deeply rooted in Uber's data set. Marketplace Intelligence team is building an efficient & scalable H3-based geospatial data platform.

Building City Cores with H3 by Marie-Camille Achard & Camilla Nawaz

We often focus our analyses, experiments, & products on the places where our ridesharing business is the densest. We refer to these areas as city cores. In the past, these were often manually drawn. Using H3 hexagon grid & computer vision techniques, we created a data-driven set of core areas.
Come learn about the methodology & how we visualize the heart of our cities!

Note: We must collect your first & last name for security reasons prior to the event. You will also need to sign an NDA when entering the building.