A showcase of some of the problems solved with our amazing clients.

blog/Projects

Open Data Maps for Amazon Location Service are now live!

| 03.10.23

We are thrilled to share that Amazon Location Service has launched four new map styles as part of their Open Data Maps collection. Collaborating with them to build these map styles has been a pairing of some of our favorite things: working with OpenStreetMap data and delivering custom map styles. Amazon Location Service provides a...

Visualizing critical disaster data with ReadyMapper

| 03.08.23

With climate-related natural disasters on the rise, it has become increasingly obvious that we lack the tools to provide useful information as crises unfold—the venn diagram of crucial data and real-time communication has painfully little overlap. Since early 2022, Stamen has had the pleasure of working with CrisisReady and Direct Relief to create ReadyMapper, an...

2022!

| 02.22.23

Remote dataviz & maps in the cloud 2022 was our first full year at Stamen being really remote. We’ve been out of our beautiful San Francisco office since the beginning of the COVID-19 pandemic, which I’ve reflected on before, but for the first year or two, we all assumed being remote was temporary. 2021 saw...

Down In the Sewers Tracking Viruses with WastewaterSCAN

| 02.16.23

Late last year, Stamen worked with the group WastewaterSCAN to build a new home for the group’s public-facing charts that visualize the data they collect from wastewater treatment plants across the US. If you’ve been keeping an eye on the latest data regarding COVID-19 and other viruses like RSV, you might have noticed that there...

Mapping the Changing Coast with the Southern Environmental Law Center

| 02.07.23

In 2022 we had the pleasure of sitting down with Jovian Sackett from the Southern Environmental Law Center to talk about our collaboration on The Changing Coast and the work Jovian does more broadly. The conversation ranged from the decisions that went into making The Changing Coast map, communicating with data, and the data questions...

Visualizing Global Population Density with Meta

| 04.13.22

We are thrilled to share a project we’ve been collaborating with the Social Impact Partnerships and Data for Good teams at Meta on to create a new interactive map tool for their High Resolution Settlement Layer (HRSL) Dataset. The explorer is live at populationexplorer.org and we invite you to explore and play with this phenomenal...

Mapping Historical New York with dot density maps

| 03.03.22

In 2021 Stamen had the pleasure of working on Mapping Historical New York with Columbia University’s Center for Spatial Research. The Center came to the table with a large and unique dataset of historical census data for the areas that are now Manhattan and Brooklyn dating back to 1850. Part of what is special about...

Launching the Facebook Map

| 02.22.21

The new Facebook Map (map data © OpenStreetMap) At Stamen, we specialize in cartography and data visualization, helping our clients to communicate with complex data. In particular, we’ve spent almost two decades designing and building interactive web maps using open source tools, such as our popular Watercolor map style using OpenStreetMap data. For the past...

New work! Visualizing fifty years of automatic photographs of LA by Ed Ruscha for the Getty

| 10.06.20

I’m beyond excited to be able to share that we’ve been working with The J Paul Getty Trust on visualizing the extraordinary work of the artist Ed Ruscha and his team on and around Sunset Boulevard in Los Angeles for the last fifty years. The work is online at http://12sunsets.getty.edu/, is live as of today,...

How we approached building Movement Trends with Facebook Data for Good and the Covid-19 Mobility…

| 04.27.20

Relative mobility change across the United States, derived from Facebook data When it comes to slowing the relentless march of Covid-19, data is a powerful tool. Data has helped counties and states and countries track cases and deaths, determine the most effective ways to bend the curve, and see in real time whether actions are...