Quantitative Geography

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

To provide geography a sound philosophical and theoretical base, and to make its methodology objective and scientific.

Course Outcomes (COs):

Course

Learning outcomes

(at course level)

Learning and teaching strategies

Assessment

Strategies

Paper Code

Paper Title

GEO 222

Quantitative Geography

 (Theory)

The students will be able to –

 

CO14:  The students will be able to explain the role of quantitative information in geographic research and applications and can demonstrate an understanding of basic descriptive statistics and regression methods as they apply to problem solving in Geography.

CO15: They would be able to perform basic data manipulation, statistical calculations and can give diagrammatic and graphical presentation by hand.

CO16:  They will evaluate the sampling distributions in drawing inferences about populations based on samples and can identify when and where statistical procedures are appropriate.

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 neighbor 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: 
2021-2022