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GPS Trajectory Analysis/Evidence
Method evidence record

GPS Trajectory Analysis

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.

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GPS Trajectory Analysis (Trajectory Data Mining)
Taxonomic method record · process-pipeline / human-geography
  • Zheng, Y. (2015). Trajectory data mining: an overview. ACM Transactions on Intelligent Systems and Technology, 6(3), 1–41. · DOI 10.1145/2743025
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Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

Same method familyActivity Space Analysismachine-suggested · Relational suggestion, not evidence.Same method familyNetwork Distance Analysismachine-suggested · Relational suggestion, not evidence.Same method familySpace-Time Cubemachine-suggested · Relational suggestion, not evidence.Same method familyTime Geography Analysismachine-suggested · Relational suggestion, not evidence.

Evidence status

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Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

1 recorded citation, copied from the method source record.

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