QUANTITATIVE GEOGRAPHY (Theory)

Paper Code: 
25GEO222
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: 
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.
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: 
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.
E-CONTENT:
1. AdvancesinAtmosphericSciences–Bimonthly, SP Science Press, Paris0256-1538
2. AtmosphericEnvironment–Annual, Elsevier, Netherland1352-2310
3. AnnalsoftheNationalAssociationofGeographersIndia–Biannual, NationalAssociationofGeographers,
NewDelhi0970-972X
aphy
Academic Year: 
2025-2026