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  • Analyzing spatial dimensions: integration of spatial and nonspatial components, concepts of operators-mathematical and logical operators, statistical methods and use, measurement of spatial dimensions.
  • Analyzing vector data: overlay analyzing, proximity analysis- buffering
  • Analyzing raster data: playing with pixel(s) and DN- local, zonal and global operations, distance measurement, location-allocation analysis
  • Querying for analysis: non-spatial and spatial queries
  • Pattern analysis, site suitability analysis
  • Path analysis- shortest path finding
  • Interpolation Techniques 
  • Analyzing the third dimensions: DEM, DTM, viewshed analysis, watershed analysis, site suitability analysis.