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Course Detail

Course Name Spatiotemporal Data Management
Course Code 15CSE369
Program B. Tech. in Computer Science and Engineering
Year Taught 2019


Unit 1

Introduction to Spatial Databases: Requirements, Principles, and Concepts for Spatial Database Management Systems (SDBMS) – Spatial Databases and Geographic Information Systems SDBMS and GIS Applications.

Unit 2

Models for Spatial Data: Geographic Space Modelling – Representation Models – Geometry of Collection of Objects – Vector Data – Raster Data – Modelling Spatial Data. Spatial Access Methods (SAM): Issues in SAM Design – Space Driven Structures versus Data Driven Structures – The Grid File – Quadtree and Variants – R-Tree and Variants – k-d-B Tree – Other common and useful SAM – Cost Models.

Unit 3

Query Processing: Algebras and Query Languages for Spatial Data – Spatial Join Queries – Nearest Neighbour Queries – Queries over Raster Data (Map Algebra) – Cost Models. Spatio-Temporal Databases: Introduction to Temporal Databases – Specialized Index Structures – Query Processing. Spatial DBMS and GIS – GRASS – Post GIS, Advanced Topics: Geographic Data Mining – Streaming (remotelysensed) Data – Mobile Objects and Location Aware Services.

Text Books

  • Philippe Rigaux, Michel Scholl, Agnes Voisard, “Spatial Databases with Applications to GIS”, Morgan Kaufman, 2002.


  • Shashi Shekhar, Sanjay Chawla, “Spatial Databases: A Tour”, Prentice Hall, 2003.
  • H. Samet, “Foundations of Multidimensional and Metric Data Structures”, Morgan-Kaufmann, 2006.

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