Augmenting the San Francisco Bay’s flood risk with 3D terrain helps communities in the region understand and plan for the future. Flood risk data courtesy of our partners at First Street Foundation, who produce Flood Factor.
The Data visualization component is now available in Mapbox Studio for all users with seamless integration with Mapbox 3D maps. Combine 3D terrain and data visualizations to draw new insights from data: helping customers understand how storms move across the landscape and where to expect heavy precipitation next; plan upcoming hikes and out-and-back distances over landscape; make sense of air quality and climate change in urban areas relative to nearby terrain.
Data visualization, made easy
The Data visualization component makes it easier than ever to tell a story with custom data by guiding users through smart suggestions and providing simple controls. Once users upload custom data, the component recommends the best visualization type based on the dominant geometry in the tileset. The component offers the choice between four major types of data visualizations: choropleths, 3D extrusions, data-driven lines, and data-driven circles.
The Data visualization component automatically starts the design process by styling the map based on the selected data. The component’s smart styling algorithm selects a data field and creates a scale with its values with three (min/median/max) even intervals. From here, users can refine the partitioning of the scale, position of stops, swap out elements, adjust the palette, and more. Check out our step-by-step guide to learn more about how to use the Data visualization component.
Color palettes designed for data
The Data visualization component provides curated color palettes in three categories: continuous palettes for showing increasing values or trends; divergent palettes with a neutral median color between two increasing extremes; and thematic palettes that evoke common visual cues. All palettes have been validated for colorblind accessibility.
Color palettes adjust to suit the number of stops in a visualization, so users don’t have to rearrange color schemes as they make changes. Color schemes can be customized further as needed. Palettes can be extended to labels and other map elements, which can coordinate or contrast with their feature’s color to give maps a bespoke, unique look.
The Data visualization component is available for all Studio users starting today. We can’t wait to see what users build with these tools.
Join us for a live webinar on February 4th with Senior Map Designer Kelsey Taylor to make a map side by side and Software Engineer Isabelle Lavandero to learn more about how we built the Data visualization component in Mapbox Studio.