Quantitative Geography

Paper Code: 
GEO222
Credits: 
5
Contact Hours: 
75.00
Max. Marks: 
100.00
Objective: 

The students will be madeto explain the role of quantitative information, applications and demonstrate an understanding of basic descriptive statistics and regression methods that can be applied to problem solving in Geography. Students will get familiarized with the techniques of data collection, edition, tabulation; theory of Probability and Sampling design. Students will   made to learn about frequency distributions , measures of central tendency. and measures of dispersion. Students will be familiarized with the techniques of correlation and regression and with the techniques of Regression, diagrammatic and graphical representation of data.

15.00
Unit I: 

Quantification in Geography: Types of spatial data (point, line and area) and levels of their measurement (nominal, ordinal, interval and ratio).

 Collection of data, Census and sample investigation, Editing of collected data, Tabulation

 Probability: Theory of probability - law of addition and multiplication. Sampling frame and procedures, Standard error.

 Sampling designs (with special reference to spatial data). concept and types, Sample units and design.

15.00
Unit II: 

Frequency distributions, Measures of central tendency - Mean, Median, Mode, mean centre, median point.

 Point of minimum aggregate travel distance, and population potential

15.00
Unit III: 

 Measures of dispersion: Range, quartile deviation, mean deviation, standard deviation and variance; coefficient of variability and Lorenz Curve.

 Index of spatial dispersion, median distance, standard distance.

 Nearest neighbour analysis.

15.00
Unit IV: 

Correlation and Regression: Scatter diagram, correlation by Spearman’s Rank Difference and Karl.

 Pearson’s Product Moment Methods.

15.00
Unit V: 
  • Regression analysis, construction of regression line; Coefficient of Areal correspondence. Least square method, Chi-square test. Models – Gravity, Potential etc. Diagrammatic and Graphical representation of data.
Essential Readings: 
  • Elhance, D.N., Fundamentals of Statistics, Kitab Mehal, Allahabad, 1972.

 Peter, J. Taylor, Quantitative Methods in Geography, Houghton Mifflin Company, Boston

 Robert Hammond and PatrikMcCullagh, Quantitative Methods in Geography, Clarendon Press, Oxford, 1974.

 Gupta, C.B., An Introduction to Statistical Methods, Ram Prasad and Sons, Agra, 1971.

 Peter Haggett, Andrew D. Cliff and Allan Frey, Locational Models, Vols. I and II, Arnold Heinemann, New Delhi, 1977.

Academic Year: 
2023-2024