Week 6: Symbols to portray point, lines, polygons and volumes,graphic variables, visual hierarchy, Data classification graphic approach, and mathematical approach.
Course Material
- Week 1: Introduction to Geographic Information System
- Week 2: Raster data model, vector data model and attribute data
- Week 3: Data acquisition techniques, data sources, data capturing techniques and procedures
- Week 4: Data transformation, visualization of spatial data, layers, projections and datum.
- Week 5:Practical Mapping, Symbolization (Arc map 10.4.1)
- Week 6: Symbols to portray point, lines, polygons and volumes,graphic variables, visual hierarchy, Data classification graphic approach, and mathematical approach.
- Week 7: Neighborhood functions, network, and overlay analysis, buffering, spatial data quality, components of data quality, micro level components
- Week 8: Macro level components, usage components, sources of errors in GIS data accuracy and resolution and uncertainty
- Week 9:The application of GIS tools in geographical application
- Week 10: Introduction to GIS Lab (hardware/ software), Raster/ Vector/ Attribute Data Display
- Week 11: Scanning, Digitization, coordinate based point mapping,
- Week 12: Vector Conversion, Data layer integration and display of different projections.
- Week 13: Map layout, Data Classification, Thematic Mapping,
- Week 14: Handling of Topological Errors and GPS
- Week 15: Overlay and network analysis.
- Week 16: Presentations
- Chapters 16
- Department Earth Sciences
- Teacher
Mudsar Shahzad
