i

Title of Course

Theory of Geospatial Information Science (NR 801)  

ii

Credit Sructure

        L            T          P           C

        3            0           0            6

T

Prerequisite, if any (for the students)

Nil

iv

Course Content

Spatial structure, spatial data indexing, Geo-relational Data Model, Object Relational Data Model, Advanced Data Models, Spatial query Languages, Spatial Data Mining Algorithms, Measures of Accuracy, Ontology, Interoperability, Multidimensional GIS, Spatial Data Visualization.

v

Text / References

1.Philippe Rigaux, Michel Scholl and Agnes Voisard, Spatial Databases with Applications to GIS, Morgan Kaufmann Publishers, San Francisco, 2002.

2.Michael Worboys and Matt Duckham, GIS: A Computing Perspective -2^nd edition, CRC Press, Boca Raton, 2004.

3.Jiawei Han and Micheline Kmber, Data Mining: Concepts and Techniques, Morgan Kaufmann Publishers, August 2000.

4.P.A.Longley et al., Geographical Information Systems – 2 Volume set, John Wiley & Sons, 1999.

vi

Instructor(s) name

1. Dr. (Mrs.) P. Venkatachalam
2. Dr. B. Krishnamohan

vii

Name of Other departments to whom the course is relevant

KReSIT, Civil Engineering, Earth Sciences, CESE

viii

Justification

The curriculum is designed to cover advanced topics in GIS to form the essential background for R&D in GIS related fields.