Practical (Statistical Techniques and Introduction to Remote Sensing and GIS)

Paper Code: 
GEO 225
Credits: 
4
Contact Hours: 
120.00
Max. Marks: 
100.00

Quantitative Geography: what is quantitative geography, applications of quantitative geography, spatial data, distance, representing spatial data, problems and opportunities.

Review of Basic Statistics: Sampling distribution of the mean, estimation process, point estimates, interval estimates, confidence interval estimation for the

Mean, determining sample size.

Theory of probability, Probabilities of distribution: Normal and binomial, Poisson sampling, estimation and level of confidence, Hypothesis: development  and testing.

Parametric test, analysis of means, analysis of variance, one way and two way

 

1. Aerial photo interpretation

·         Understanding the fundamentals of Aerial Photographs like principle points, isocentre, Fiducail points  number of runs and number of photographs

·         Identification of objects and features; Interpretation Keys and Image interpretation of Remote Sensing data, Identification of cultural and physical features on the image.

2. Techniques of  mapping using RS  or GIS Software by using following stages

·         GIS: Geo-referencing; on-screen digitization of polygons, points and lines,  Editing, adding attributes.

 

·         Tabulation  of the  map related data, Integration of Spatial and Non Spatial data and Query making and Finalization of Map

 

 

Essential Readings: 
  1. : Bohrnstedt, G. W., and D. Knoke, 1988: Statistics for Social Data     
  2. Analysis, 2nd Edition, F.E. Peacock Publishers, Inc., Itasca, IL. Good treatment of contingency tables.

 

  1. Draper, N. R., and H. Smith, 1981: Applied Regression Analysis: 2nd Edition, John
  2. Wiley & Sons, New York, NY. Mathematical treatment of regression.
  3. Fotheringham, A. S., C. Brunsdon, and M. Charlton, 2000: Quantitative Geography:

 

  1. Perspectives on Spatial Data Analysis, Sage. A survey of quantitative methods used
  2. in geography.

 

  1. Gonick, L., and W. Smith, 1993: The Cartoon Guide to Statistics, HarperPerennial,
  2. New York, NY. Reviews basic statistics including simple regression.
References: 

1. Campell, J. B. (2003): Introduction to Remote Sensing. 4th ed. Taylor and Francis, London.

2. Cracknell, A. and Ladson, H (1990): Remote Sensing Year Book. Taylor and Francis, London.

3. Curran, P.J. (1985): Principles of Remote Sensing. Longman, London.

4. Deekshatulu, B.L. and Rajan, Y.S. (ed.) (1984): Remote Sensing. Indian Academy of Science, Bangalore.

5. Floyd, F. and Sabins, Jr. (1986): Remote Sensing: Principles and Interpretation. W.H. Freeman, New York.

6. Gautam, N.C. and Raghavswamy, V. (2004): Land Use/ Land Cover and Management Practices in India. B.S. Publications., Hyderabad.

7. Harry, C.A. (ed.) (1987): Digital Image Processing. IEEE Computer Society, California.

8. Hord, R.M. (1982): Digital Image Processing of Remotely Sensed Data. Academic Press, New York.

9. Jensen, J.R. (1986): Introductory Digital Image Processing: A Remote Sensing Perspective, Prentice-Hall, Englewood Cliffs, New Jersey.

10. Jensen, J.R. (2004): Remote Sensing of the Environment: An Earth Resource Perspective. Prentice-Hall, Englewood Cliffs, New Jersey. Indian reprint available.

11. Lillesand, T.M. and Kiefer, R.W. (2000): Remote Sensing and Image Interpretation. John Wiley and Sons, New York.

Academic Year: 
2017-2018