QUANTITATIVE GEOGRAPHY (Theory)

Paper Code: 
24GEO222
Credits: 
5
Contact Hours: 
75.00
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

Course Outcomes (Cos)

Learning & Teaching Strategies

Assessment Strategies

Course

Code

Course Title

 

 

 

 

 

 

24GEO

222

 

 

 

 

 

 

Quantitative Geography (Theory)

CO37: 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.

CO38:           Explore about frequency distributions and measures of central tendency.

CO39: Interpret about the measures of dispersion.

CO40: Acquaint with the techniques of correlation and regression.

CO41: Analyse the techniques of Regression, diagrammatic and graphical representation of data.

CO42:Contribute effectively in course-specific interaction.

Approach in Teaching:

 

Interactive lectures, Discussion, Reading assignments.

 

 

Learning activities for the students:

 

Self-           learning assignments, 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 center, 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.

 

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.
  • 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.

 

References: 
  1. Gupta, C.B., An Introduction to Statistical Methods, Ram Prasad and Sons, Agra, 1971.
  2. Peter Haggett, Andrew D. Cliff and Allan Frey, Locational Models, Vols. I and II, Arnold Heinemann, New Delhi, 1977.

E-CONTENT:

  1. AdvancesinAtmosphericSciences–Bimonthly, SP Science Press, Paris0256-1538
  2. AtmosphericEnvironment–Annual, Elsevier, Netherland1352-2310
  3. AnnalsoftheNationalAssociationofGeographersIndia–Biannual, NationalAssociationofGeographers, NewDelhi0970-972X
  4. https://epgp.inflibnet.ac.in/Home/Download

 

5. https://onlinelibrary.wiley.com/doi/10.1111/j.1467-9787.2009.00642.x

  1. https://link.springer.com/journal/10940
  2. https://www.academia.edu/102460407/The_Quantitative_Revolution_and_Theoretical_Geogr aphy

 

Academic Year: 
2024-2025