QUANTITATIVE GEOGRAPHY

Paper Code: 
GEO 222
Credits: 
5
Contact Hours: 
75.00
Max. Marks: 
100.00
Objective: 

Course outcomes

Learning and teaching strategies

Assessment strategies

On completion of this course, the students will be able to:

 

CO1: The students will be able to explain the role of quantitative information, applications and can 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.

 

CO2: Students will learn about frequency distributions and  measures of central tendency.

 

CO3: Students will learn about measures of dispersion.

 

CO4: Students will get familiarized with the techniques of correlation and regression.

 

CO5: Students will get familiarized with the techniques of Regression,  diagrammatic and graphical representation of data.

 

 

 

Approach in teaching:

Interactive Lectures, Discussion, Tutorials, Reading assignments, Demonstration.

 

 

 

Learning activities for the students:

Self-learning assignments, Effective questions, Seminar presentation

 

 

 

 

 

 

Class test, Semester end examinations, Quiz, Assignments, Presentation, Individual and group projects

 

 

15.00
  • 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
  • · Frequency distributions, Measures of central tendency - Mean, Median, Mode, mean centre, median point.
  • Point of minimum aggregate travel distance, and population potential
15.00
  • 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
  • Correlation and Regression : Scatter diagram, correlation by Spearman’s Rank Difference and Karl.
  • Pearson’s Product Moment Methods.

 

 

15.00
  • 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.

 

 

References: 

Elhance, D.N., Fundamentals of Statistics, KitabMehal, 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.

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: 
2022-2023