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| GPS Trajectory Analysis× | Space-Time Cube× | |
|---|---|---|
| Dziedzina | Human Geography | Human Geography |
| Rodzina | Process / pipeline | Process / pipeline |
| Rok powstania≠ | 2015 | 1970 |
| Twórca≠ | Yu Zheng | Torsten Hägerstrand (time geography); cube popularized by Menno-Jan Kraak |
| Typ≠ | Pipeline for turning raw movement traces into structured mobility information | Spatiotemporal data structure and visualization framework |
| Źródło pierwotne≠ | Zheng, Y. (2015). Trajectory data mining: an overview. ACM Transactions on Intelligent Systems and Technology, 6(3), 1–41. DOI ↗ | Hägerstrand, T. (1970). What about people in regional science? Papers of the Regional Science Association, 24(1), 6–21. DOI ↗ |
| Inne nazwy | Trajectory Data Mining, Movement Trajectory Analysis, GPS Trace Analysis, Mobility Trajectory Mining | Hägerstrand Space-Time Cube, Space-Time Aquarium, Spatiotemporal Cube, Time-Geographic Cube |
| Pokrewne | 4 | 4 |
| Podsumowanie≠ | 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. |
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