Explanation of Process Used:

We integrated the Project Sidewalk Seattle Accessibility dataset with Points of Interest (POI) data sourced from the Seattle Open Data portal, such as hospitals, libraries, parks, schools, transit stops, and emergency food resources. All datasets were cleaned and standardized in Jupyter to ensure we kept consistent latitude and longitude coordinates alongside key attributes like barrier severity and permanence. 

For the interactive visualization part (the map), we built a master accessibility map using the Folium library, where we combined multiple toggleable layers to support exploration from different perspectives. These layers include severity-weighted heatmaps, clustered barrier markers with detailed popups, neighborhood-level severity overlays, and POI layers that represent essential pedestrian-route destinations. Additional tools we integrated into the interactive map include an autocomplete search tool, layer controls, and inspection utilities to allow users to dynamically explore accessibility conditions and their impact on access to everyday destinations. The polygon feature also enables users to directly annotate on the map. 

Choice of Colors & Fonts Used:

We chose to use a consistent, neutral color palette with high contrast to ensure readability and accessibility. We intentionally used color as a tool to encode severity, density, and category differences, such as severity intensity or for the heatmap application. We ensured that we kept a clear and legible font and labeling to support interpretation.