Description
The Urban Institute’s Spatial Equity Data Tool enables users to upload their own data and quickly assess whether place-based programs and resources—such as libraries or Wi-Fi hotspots—are equitably distributed across neighborhoods and demographic groups. Our (forthcoming) API and R package also enable users to seamlessly incorporate equity analytics into existing workflows and exciting new tools.
In this talk, I will share how we've expanded access to the tool using multi-language software. I'll discuss our updates to Python-based tool and API; R package wrapping the API; and Quarto-based documentation. I will also share how our partners in the City of Los Angeles have used the API and RShiny to build a custom budget equity tool.