Spatial Data Concepts:
Introduction to GIS, Geographically referenced data, Geographic, projected and planer coordinate system, Map projections, Plane coordinate systems, Vector data model, Raster data model
Data Input and Geometric transformation:
Existing GIS data, Metadata, Conversion of existing data, Creating new data, Geometric transformation, RMS error and its interpretation, Resampling of pixel values.
Attribute data input and data display :
Attribute data in GIS, Relational model, Data entry, Manipulation of fields and attribute data, cartographic symbolization, types of maps, typography, map design, map production
Exploration, attribute data query, spatial data query, raster data query, geographic visualization
|Vector data analysis: Introduction, buffering, map overlay, Distance measurement and map manipulation.|
Raster data analysis: Data analysis environment, local operations, neighbourhood operations, zonal operations, Distance measure operations.
|Spatial Interpolation: Elements, Global methods, local methods, Kriging, Comparisons of different methods|
1. Implement data in import and generation coordinate system basics.
2. Generate data (points, line, polygons) and topology.
3. Geo-referencing and image registration
4. Implement 3D layers (DEM, Contours, TIN, 3D models )
5. Querying GIS data
6. Distance and decisions analysis (spatial, geo-statistics, network, hydrology, topology, 3D analysis, extract overlay)
7. 3D visualizations
B1: Introduction to Geographic Information Systems by Kang-tsung Chang, 5th Edition, Tata McGrawHill.
(Unit I: Chapter 1,2,3,4, Unit II: Chapter 5,6, Unit III: Chapter 4, Unit IV: Chapter 5, Unit V: Chapter 6, Unit VI: Chapter 7, 8)
Concepts and Techniques in Geographic Information Systems by Chor Pang Lo and Albert K. W. Yeung [link]
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