Senior Map Designer
With the Australia and California fires, Covid-19 pandemic and US elections, map-based data visualizations had a leading role in 2020. Maps help us to interpret and understand our rapidly changing world. To help you transform data points into stories, we’ve made our suite of data visualization tools more robust with the addition of the Data visualization component in Mapbox Studio. Create prototypes and production-ready map styles in seconds with three different visualization types. Join us for a walkthrough of the tool and design along our cartographers and product designers.
You’ll learn how to…
- Tell stories with map-based data visualizations
- Create three different visualizations in Mapbox Studio, including choropleth, data-driven circles and data-driven lines
- Find open data, upload it to Mapbox, and add it to your map
- Tailor your basemap specifically for your data visualization and use case to optimize legibility and performance
- Blog post: Studio's new style component designed especially for data
- Anyone can use Mapbox Studio – Create a free account and log in.
- You can use the earthquake data in Kelsey's example by pasting tileset ID `mapbox.5sq1s796`
- You can use the earthquake data in Kelsey's example by accessing thesource data on earthquake.usgs.gov – get geojson with this link.
- What is a vector tileset?
- An example of one way to use Mapbox GL JS for time travel
- Mapbox Python CLI on GitHub
- Data types & transfer limits (Uploads troubleshooting guide)
- Here's an example showing how to add markers + popups to a map with a bit of code.
- Question: "Why call this a "style" and not a "map"?"
Answer: In Mapbox, a 'map' is a graphic that your browser (or client) draws; it's made of two parts: data, and styling instructions. Mapbox Studio is a tool for writing the styling instructions, and the output of Mapbox Studio is a giant JSON file that contains only the styling instructions; all the data in a style is references to sources for the map data that will be styled.