SparseTrajAnalytics: an Interactive Visual Analytics System for Sparse Trajectory Data

Xinyue Ye, Jiaxin Du, Xi Gong, Ye Zhao, Shamal AL-Dohuki, Farah Kamw

Research output: Contribution to journalArticlepeer-review

Abstract

Sparse trajectory data are trajectories that cover a relatively large geographic area with infrequent samplings of movements, such as human migration and hurricane trajectories. Compared with dense trajectory data (e.g., massive vehicle movements in a metropolitan area), sparse trajectories represent a more general form of movement data due to the data availability and less sensitivity. However, there is a lack of open source software for sparse trajectory data analytics. We designed an online system with a self-adaptive heatmap and multi-spatial-temporal-view charts to analyze sparse trajectories both visually and interactively. With our system, users can (1) store and manage sparse trajectory data on a cloud service; (2) analyze sparse movement behaviors by querying consolidated and live data sets using keywords, spatial location, and time constraints; and (3) explore query results and associated data through web-based thematic maps, tables, and charts. Results of the survey among domain experts show that the open source system is intuitive and user-friendly.

Original languageEnglish (US)
Article number3
JournalJournal of Geovisualization and Spatial Analysis
Volume5
Issue number1
DOIs
StatePublished - Jun 2021
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Computers in Earth Sciences
  • Earth and Planetary Sciences (miscellaneous)
  • Geography, Planning and Development

Keywords

  • Human migration
  • Hurricane trajectories
  • Sparse trajectories
  • Visual analytics

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