Semester Offering: January
 

This course introduces principles, concepts and applications of Geographic Information Systems (GIS): a decision support tool for planners and managers of spatial information. Database development, manipulation and spatial analysis techniques for information generation will be taught. Students will have the scope of using GIS for applications in their related fields such as natural resource management, environment, civil engineering, agriculture, information system, etc will be discussed through miniproject and laboratory exercises.

 

Mapping Concept. Data Structure. Data Management Techniques. Data Acquisition. Global Positioning System Interface. Data Manipulation and Analysis. Map Output Generation.

 

None

 

I.       Introduction
1.      Overview, History and Concepts of GIS, Scope and Application Areas
2.      Purpose and Benefits of GIS
3.      Functional Elements of GIS
4.      Importance of Remote Sensing Data in GIS

II.     Digital Mapping Concept
1.      Map concept – Map elements, Map Layers, Map scales and representation
2.      Map Projection – coordinate system and projection systems

III.    Data Structure
1.      Raster Data Structure
2.      Vector Data Structure
3.      Data Compression Techniques

IV.    Data Acquisition
1.      Analogue to digital conversion
2.      Data from Remote Sensing Imagery
3.      Global Positioning System (GPS) based data acquisition

V.     Data Manipulation and Analysis
1.        Data Manipulation Techniques
2.        Spatial Analysis Techniques – statistical and geometrical
3.        Geoprocessing Techniques
4.        Model Development

VI.    Spatial Accuracy Assessment
1.        Data Quality
2.        Accuracy Assessment using Statistical Tests

VII. Open GIS
1.        Introduction of Open Concept in GIS
2.        Open Source Software for Spatial Data Analysis

VIII. Map Design
1.        Layout of Maps
2.        Intelligent Maps
3.        Charting and Tabular representation of the results using GIS

 

Spatial database development, Linking non-spatial and spatial database, database editing and updating, GPS data integration in GIS, Data manipulation and preprocessing, Geoprocessing techniques, Spatial analysis, Map generation, Charting and tabular representation. Mini-project for GIS application.

 

Lecture Notes

P.A. Burrough and R. A. McDonnell (1998): 
Principles of Geographical Information Systems, Oxford University Press.

Andy Mitchell (2001): 
ESRI guide to GIS Analysis , ESRI Press, Red Lands.

J. Lee, D.W.S. Wong (2002):
Statistical Analysis with Arc View GIS: John Wiley and Sons, Inc., New York.

 

M. Neteler and H. Mitasova (2007):
         Open source GIS: A GRASS Approach, IBT Global Press, U.K.

Nancy J. Obermeyer and Jeffrey K. Pinto (1995): 
         Managing Geographic information systems, The Guilford Press, New York, London.

 

  • International Journal of GIS
  • International Journal of Geoinformatics
  • Photogrammetric Engineering and Remote Sensing

 

Final grades will be computed according to the following percentage distribution:
  • Mid-semester Examination 20%,
  • Final Examination 40%,
  • Assignments / Lab Assignments / Mini Project    40%.
Examination will be closed book.