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


Data exploration:

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  

8.  Cartography  


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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