work/Cartography

From early 2020 through 2023 Lyft partnered with Stamen to design and implement their first custom maps for their riders and driver. Stamen worked with Lyft’s product designers and researchers to understand the unique needs of their users wh...

Empty City” investigates the fractured urbanism of San Francisco, Las Vegas and the road in between. As in our experiences of these places, events occur in fragments, via unexpected juxtapositions, and are often gone before they have fully arriv...

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Broadbandmap.gov collected internet connection data across the US. Funded by the FCC, the project let viewers compare connection type, actual speeds versus those advertised, availability compared to demographics, and other aspects of their broadba...

It’s been our privilege to work on one of our largest and most ambitious undertakings ever: collaborating closely with a team of Facebook engineers, designers, and data experts to roll out a global, multi-scale base map for all of Facebook’s b...

We designed a new look for the maps used by LOCOG (the London Organising Committee of the Olympic Games). The project organized tens of thousands of geocoded articles and photos that the London 2012 team produc...

In 2013, the Parks Conservancy reached out to us to help with a new initiative: creating a beautiful map to help more locals (and tourists) get outside and into the Golden Gate National Recreation Area, the nation’s largest urban national park, ...

Good-looking maps used to be the domain of experts. That’s been changing quite a bit in the last few years, and it’s easier than ever now for developers to access mapping data. Never content to leave well enough alone, we thought we’d...

Stamen was invited to speak at the Jet Propulsion Lab for Data Visualization from Design to Discovery. We were thrilled to be onstage alongside ...

We’ve been quietly working under a grant from the Knight Foundation to do something that no one seems to have done before: publicly compiling as many open-licensed, locally-created terrain data sets as possible to stitch together a global set....