Quantitative Geography (Theory)

Paper Code: 
25CGEO612
Credits: 
04
Contact Hours: 
60.00
Max. Marks: 
100.00
Objective: 
  1. To understand the concept of quantitative information, applications.
  2. To demonstrate an understanding of basic descriptive statistics and regression methods 

 

Course Outcomes: 

Course

Learning Outcome

(at   course level)

Learning &

Teaching

Strategies

Assessment Strategies

Course Code

Course Title

 

 

 

 

 

 

 

25CGEO

612

 

 

 

 

 

 

 

Quantitative

Geography

(Theory) 

CO118:    Attain the techniques of data collection, edition, tabulation; theory of Probability and Sampling design.

CO119:                 Examine                 frequency distributions and measures of central tendency.

CO120:                 Dipict     measures                 of dispersion. 

CO121:  Familiarized with the techniques of correlation and regression.

CO122:  Enhance the techniques of Regression,           diagrammatic       and graphical representation of data.

CO123: Contribute effectively in course-specific interaction.

Approach                in

Teaching:

Interactive lectures, Discussion,

Tutorials,      Reading

assignments, Demonstrations. Learning activities for the students: Self-learning assignments,

effective questions, Seminar presentation.

Class Test, Semester end examinations, Quiz,

Assignments,

Presentation,

Individual and Group

projects.

 

12.00
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.

 

12.00
Unit II: 
  • Sampling designs (with special reference to spatial data). concept and types, Sample units and design.
  • Frequency distributions, Measures of central tendency - Mean, Median, Mode, mean centre, median point. 
  • Point of minimum aggregate travel distance, and population potential

 

12.00
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.

 

12.00
Unit IV: 
  • Correlation and Regression: Scatter diagram, 
  • Correlation by Spearman’s Rank Difference and  Karl Pearson’s Product Moment Methods.

 

12.00
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, 1977.
  • Robert Hammond and PatrikMcCullagh, Quantitative Methods in Geography, Clarendon Press, Oxford, 1974.

 

References: 
  • 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.

 

E-Contents

 

Academic Year: 
2025-2026