Parsing and visualizing my own Google Maps Timeline data — location history reclaimed from a surveillance product and turned into maps of Toronto.
Parses a raw Google Maps Timeline export into visit and transit records, reconstructs a chronological movement dataframe, and visualizes ping density over time and space — including a circular downtown Toronto header rendered from GPS pings layered over the OSM road network.
Builds a routable OSM road graph for Toronto and sequentially map-matches raw GPS pings onto it, scoring each candidate road by a combination of routing distance and GPS offset so ambiguous snaps near intersections and highway interchanges resolve correctly.