Find the flattest route between any two points in SF
Summary
The article describes a browser-based tool that computes routes across San Francisco to optimize for flatness, using 1 m LiDAR elevation data and OpenStreetMap, with a slider balancing distance and climbing. It highlights offline place search, a full data pipeline, and a GitHub source reference for the analysis, illustrating open-source data-driven urban routing. The content emphasizes data sources, algorithmic trade-offs, and user-facing route visualization.