Practical (ADVANCE STATISTICAL TECHNIQUES, REMOTE SENSING AND IMAGE INTERPRETATION)

Paper Code: 
Geo-425
Credits: 
2
Contact Hours: 
30.00
Max. Marks: 
100.00
Objective: 

I. Basic Statistical Concepts in Geography

A. Introduction: The Context of Statistical Techniques

B. Geographic Data: Characteristics and Preparation

 

Descriptive Problem Solving in Geography :Descriptive Statistics, Descriptive Spatial Statistics, tests and confidence intervals for coefficients, F-tests, R2, prediction, indicator variables, interaction terms.

Inferential Problem Solving in Geography

A. Elements of Inferential Statistics

B. Two-Sample and Dependent-Sample Difference Tests

C. Three-or-More-Sample Difference Tests: Analysis of Variance Methods

D. Goodness-of-Fit and Categorical Difference Tests

E. Inferential Spatial Statistics

F. Correlation

G. Regression: Multiple Linear Regression: models, purpose, regression surfaces, effects of explanatory variables, specially constructed explanatory variables.

Theory and Principles of Surveying: Theodolite

 

Essential Readings: 
  1. Burt, J. E., G. M. Barber, and D. L. Rigby, 2009: Elementary Statistics for Geographers.
  2. Geography (2nd Edition). McGraw-Hill Science/Engineering/Math, pp. 264
  1. Jensen J. R., 2004: Introductory Digital Image Processing: A Remote Sensing Perspective, Prentice Hall.
  2. Jensen, John R. 2005. Remote Sensing of the Environment: An Earth Resource Perspective.  Prentice Hall, Upper Saddle River, New Jersey.  3rd edition.
  3.  Joseph, G. 2005: Fundamentals of Remote Sensing, United Press India.
  4.  Lillesand T. M., Kiefer R. W. and Chipman J. W., 2004: Remote Sensing and Image Interpretation, Wiley. (Wiley Student Edition).
  5. McGrew, J. C., Jr. and C. B. Monroe, 1999: An Introduction to Statistical Problem Solving in
Academic Year: 
2016-2017