Quantitative Geography (Theory)

Paper Code: 
24CGEO612
Credits: 
04
Contact Hours: 
60.00
Max. Marks: 
100.00
Objective: 

Objectives:

  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

CourseTitle

 

 

 

 

 

 

 

24CGEO

612

 

 

 

 

 

 

 

Quantitative

Geography

(Theory) 

CO117:    Attain the techniques of data collection, edition, tabulation; theory of Probability and Sampling design.

CO118:               Examine               frequency distributions and measures of central tendency.

CO119:               Dipict    measures               of dispersion. 

CO120:  Familiarized with the techniques of correlation and regression.

CO121:  Enhance the techniques of Regression,          diagrammatic       and graphical representation of data.

CO122: 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

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

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

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

Correlation and Regression: Scatter diagram, 

Correlation by Spearman’s Rank Difference and 

Karl Pearson’s Product Moment Methods

12.00

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: 

Essential Readings: 

  1. Elhance, D.N., Fundamentals of Statistics, Kitab Mehal, Allahabad, 1972.
  2. Peter, J. Taylor, Quantitative Methods in Geography, Houghton Mifflin Company, Boston, 1977.
  3. Robert Hammond and PatrikMcCullagh, Quantitative Methods in Geography, Clarendon Press, Oxford, 1974.

 

Suggested Readings: 

  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.

 

 

References: 

E-Contents

  1. AdvancesinAtmosphericSciences–Bimonthly,SPSciencePress,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
  6. https://link.springer.com/journal/10940
  7. https://www.academia.edu/102460407/The_Quantitative_Revolution_and_Theoretical_Geogr aphy

 

Academic Year: 
2024-2025