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.
Course Name | Spatiotemporal Data Management |
Course Code | 15CSE369 |
Program | B. Tech. in Computer Science and Engineering |
Year Taught | 2019 |
Introduction to Spatial Databases: Requirements, Principles, and Concepts for Spatial Database Management Systems (SDBMS) – Spatial Databases and Geographic Information Systems SDBMS and GIS Applications.
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.
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.
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