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Yun Wen

FYTG 5101 Presentation Data Management For Spatio -temporal Data Of PM 2.5 Indices Through Mobile Sensing Type of This Project: Survey. Yun Wen. Outlines. Motivation ST Concepts and Models Storage Structure and Indexing. Reliable?. Project: Home Air Quality Sensor Network. CO, O 2 ,

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Yun Wen

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  1. FYTG 5101 PresentationData Management For Spatio-temporal Data Of PM 2.5 Indices Through Mobile SensingType of This Project: Survey Yun Wen

  2. Outlines • Motivation • ST Concepts and Models • Storage Structure and Indexing

  3. Reliable?

  4. Project: Home Air Quality Sensor Network CO, O2, PM2.5 Smoke, Temp Humidity +Electricity Consumption

  5. Spatiotemporal Data

  6. Spatiotemporal Data

  7. SpatioTemporalDataBase Management System • Temporal DBMS: existance time, valid-time, transaction-time • Spatial DBMS: GIS, environmental information system, trajectory and multimedia

  8. ER Temporal

  9. ER Spatial

  10. ER SpatioTemporal

  11. Storage Structure and Indexing 1D database indexing structures are not appropriate • Quad trees • K-D-B trees • R-tree • …..

  12. Quad tree

  13. Quad tree Type of Data: • region quadtree • point quadtree • Lines/curves quadtree Node Information: • Four pointers (NW,NE,SW,SE) • Point: key(x,y);value

  14. Quad tree Do not take paging of secondary memory into account Temporal: Linear Quadtree Improved: Overlapping Linear Quadtree

  15. K-D-B tree

  16. K-D-B tree Region pages (region,child) + point pages(point,location) • Same path length • Disjoint page • Union of all region in the child is region

  17. K-D-B tree Designed for paged memory, but are useful only for point data

  18. B+ tree

  19. R tree • A B+ tree

  20. R tree

  21. R tree Balanced-search tree Organize data in page Overlapped region n entries M maximum Variants: Hilbert R-tree X-tree R* tree, R+ tree

  22. Conclusion • All trees are important • Trade-off

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