WiFi Sensing Toolkit for Urban Studies

An open-source R toolkit for measuring pedestrian activity using low-cost WiFi sensors. Processes raw WiFi data into five urban analytics metrics: location, count, track, revisits, and activities.Documentation: https://incomparable-starlight-f1c5be.netlify.app/The toolkit covers the full pipeline from hardware setup to metric extraction: - Sensor: Raspberry Pi-based WiFi probe listener - Processing: aggregation, cleaning, and MAC randomization handling- Metrics: location accuracy, pedestrian counts, OD tracks, revisit patterns, and activity classificationAll analysis scripts are in scripts/, with sample datasets in workflow/ for hands-on use.Requirements: R >= 4.1License: MIT