Introduction to Spatial Database, Applications domains of Spatial Dat Science, Common Spatial Data Types and Analysis, Conceptual Data Models for Spatial Databases, Logical Data Models for Spatial Databases (Raster Model and Vector Model), Physical Data Models for Spatial Databases (Clustering Methods (Space Filling Curves), Storage Methods (R-Tree, Grid Files), Concurrency Control (R-Link Trees), Compression Methods for Raster and Vector Data), Spatial Query Languages, Query Processing and Optimization (Strategies for Range Query, Nearest Neighbor Query, Spatial Joins (Tree Matching), Cost Models for New Strategies, Impact on Rule-based Optimization), Spatial Networks ( Conceptual, Logical, and Physical Data Models, Query Languages, Graph Algorithms, Access Methods), Introduction to Spatial Data Mining (Auto-correlation, Co-location, Spatial Outliers, Classification (SAR, MRF)), Spatio-temporal Databases, Location-based Services (GPS and positioning, VPS), GIS and Geo-visualization, Trends in Spatial Database, Recent Researches on Spatial Informatics