方法对比

	GPS Trajectory Analysis	Space-Time Cube
领域	Human Geography	Human Geography
方法族	Process / pipeline	Process / pipeline
起源年份	2015	1970
提出者	Yu Zheng	Torsten Hägerstrand (time geography); cube popularized by Menno-Jan Kraak
类型	Pipeline for turning raw movement traces into structured mobility information	Spatiotemporal data structure and visualization framework
开创性文献	Zheng, Y. (2015). Trajectory data mining: an overview. ACM Transactions on Intelligent Systems and Technology, 6(3), 1–41.	Hägerstrand, T. (1970). What about people in regional science? Papers of the Regional Science Association, 24(1), 6–21.
别名	Trajectory Data Mining, Movement Trajectory Analysis, GPS Trace Analysis, Mobility Trajectory Mining	Hägerstrand Space-Time Cube, Space-Time Aquarium, Spatiotemporal Cube, Time-Geographic Cube
相关	4	4
摘要	GPS trajectory analysis is the pipeline that turns raw streams of timestamped location fixes into structured, meaningful mobility information — the stops where a person dwells, the trips between them, the transport modes used, and the network routes actually travelled. Following the trajectory-data-mining framework synthesized by Yu Zheng in 2015, it cleans noisy positions, segments movement into stays and journeys, snaps points onto road or transit networks, and infers behaviour and recurrent patterns. It is the foundation for activity-space, travel-demand, and mobility studies built on smartphone and vehicle tracking data.	The space-time cube is a framework from time geography for representing and analyzing phenomena that move and change over both space and time. Two horizontal axes carry geographic location and a vertical axis carries time, so each observation becomes a point in a three-dimensional x–y–t volume and a moving object traces a continuous 'space-time path' through the cube. Introduced conceptually by Torsten Hägerstrand in 1970 and turned into a practical analytic and cartographic tool by Menno-Jan Kraak, it underpins modern spatiotemporal hot-spot and trajectory analysis.