“There’s a lot of education we need to do as real estate professionals on this,” says Guzmán, a broker with and vice president of association affairs at the National Association of REALTORS®. Also, 500-year flood incidents suddenly don’t seem so rare as extreme weather and sea level rises increasingly threaten areas across the country every year. Some of the worst flooding damage in recent years has occurred inland due to heavy rainfall and overflowing rivers. Flooding is the most common and costly natural disaster in the U.S.-and it’s not just the coasts that are at risk. Combine your data with layers available in all Studio accounts, including boundaries, terrain, elevation, and high-resolution land cover and land use data.Chicago real estate pro Mabél Guzmán, ABR, CIPS, may not live in a coastal area of the U.S., but she still makes it a point to talk flood risk with her buyers. If you’re working with large datasets, try the Mapbox Tiling Service to process custom vector tilesets. If you’re using location tools to change our world for the better, connect with our Community team. Innovators like the First Street Foundation are leading the way. Understanding and effectively communicating risk is the first step towards adaptation and mitigation. Already other projects like Neighborhoods at Risk are putting Flood Factor’s data to use to help communities prioritize improvements to stormwater systems and other climate adaptation efforts. Leading academic and industry researchers are collaborating as part of the First Street Foundation Flood Lab to derive new insights and further understanding of flood risk, its consequences, and possible solutions. Nonprofits, academics, and the public sector can access aggregated flood risk summary statistics for public, non-commercial use through an AWS public dataset - and others can purchase access via an API. The First Street Foundation is also sharing their data with others working on flood risk. Matthew Eby, Founder and Executive Director, First Street Foundation We have heard from people across the country who have used Flood Factor to help make important decisions about whether to purchase flood insurance, and other investments to protect their homes. Our aim has always been to democratize information that has long been inaccessible because of its complexity and cost. Through partnerships with, Flood Factor is now also reaching millions of current and future homeowners to help them understand a property’s flood risk due to a changing environment over the life of a 30-year mortgage. Since its launch in June, Flood Factor has sparked a new conversation around flooding and flood preparedness, both in the scientific community, the media, and the general public. The finished maps showcase multiple data-driven styling and zoom-based styling techniques - explore how to replicate this within Mapbox Studio, directly in GL JS code using Expressions, or by editing paint properties. The resulting flood risk datasets were processed into vector tiles and styled in Mapbox Studio. To calculate flood risk scores at the level of individual properties, First Street Foundation used building footprints data (from Mapbox, Microsoft, and OpenStreetMap) combined with parcel data from LightBox. For an optimized user experience the maps across the site use Mapbox GL JS for dynamic maps and static ‘snapshot’ maps to help orient the user.ĭynamic maps let users explore flood data in more detail and in relation to neighboring areas The address search on the Flood Factor homepage, powered by the Mapbox Geocoding API, takes users directly to the content that is relevant to them and their community. Colleen Ensor, Product Manager, First Street Foundation Our Score Maps are one of the most popular components of the site. Partnering with Mapbox has been crucial for providing us with innovative ways to integrate location into Flood Factor and enhance the user experience. By batching scores together as users zoom in and out, the interactive maps enable them to understand their Flood Risk relative to other properties in a simple and visually compelling way. Flood Factor models the location and depth of flooding for different probabilities within a given year.įlood Factor’s ‘Score Map’ features allows users to visualize the changing nature of risk and make the data more relatable.
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