Statistical Methods in Geography (Practical)

Paper Code: 
24CGEO313
Credits: 
04
Contact Hours: 
120.00
Max. Marks: 
100.00
Objective: 

Objectives: 

  1. The concept of quantitative information in general and Geographical data in particular. The importance      of data analytics. The ways data is collected or data is taken from different sources. The sampling methods’ application for data collection purposes.
  2. The ways to handle the collected data through classification, tabulation and stigmatization. The data presentation using graphical and diagrammatic ways.
  3. To calculate different averages on data and to identify the variations in data.
  4. To compute relations and impacts among the data series. The concept of probability particularly normal curve.

 

Course Outcomes: 

 

Course

Learning Outcome

(at   course level)

Learning&Teaching

Strategies

Assessment Strategies

Course Code

CourseTitle

 

 

 

 

 

24CGEO

313

 

 

 

 

Practical:

Statistical

Methods in

Geography 

 

CO49: Interpret science and art of cartography Maps –

Classification and Types; Principles of Map Design. CO50: Recognize the benefits and limitations of Diagrammatic data Presentation.

CO51: Enhance concepts regarding thematic mapping techniques

CO52:    Compile    cartographic

Overlays 

CO53: Interpret thematic maps CO54: Contribute effectively in course-specific interaction.

Approach

in

Teaching:

Observation,

Conduction           and

Compiling data

 

Learning activities for the students:

Self-learning File  work/Report writing, learning by doing.

 

Viva, Continuous assessment, Semester

                   end

examinations, Individual and Group team work.

 

24.00
Unit I: 
Use of Data in Geography

 Geographical Data Matrix, 

Significance of Statistical Methods in Geography; 

Sources of Data, Scales of Measurement (Nominal, Ordinal, Interval, Ratio)  

 

24.00
Unit II: 
Tabulation and Descriptive Statistics

Frequency Distribution Table, Cross Tabulation, 

Graphical Presentation of Data (Bar diagram, Histograms, Frequency Curve and Cumulative Frequency Curves), 

Measurement of Central Tendencies (Mean, Median and Mode), 

Measurement of Partitions (Deciles, Quartiles and Percentiles), 

Dispersion (Standard Deviation, Variance and Coefficient of Variation).

 

24.00
Unit III: 
Sampling

 

Purposive, 

Random, 

Systematic and 

Stratified

 

24.00
Unit IV: 
Theoretical Distribution

 

Concept of Probability Distribution (theory only), 

Normal Distribution (Its Characteristics and Application of Area Under Normal Curve)

 

24.00
Unit V: 
Correlation

 

Rank Correlation and Product Moment Correlation, 

Simple Regression and 

Mapping of Residuals from Regression

 

Essential Readings: 

Essential Reading:

 

  1. King L. S. (1969). Statistical Analysis in Geography. U.S.A.: Prentice-Hall
  2. Shinha, I. (2007). Sankhyikibhugol. New Delhi, India: Discovery Publishing House
  3. Yeates M., 1974: An Introduction to Quantitative Analysis in Human Geography. New Delhi, India.: McGraw Hill

 

 

 

References: 

Suggested Readings:

 

  1. Berry B. J. L. and Marble D. F. (eds.). (1968). Spatial Analysis – A Reader in Geography. U.S.A.: Prince-Hall.
  2. Ebdon D. (1977). Statistics in Geography: A Practical Approach. Oxford, UK.: Blackwell
  3. Hammond P. and McCullagh P. S. (1978): Quantitative Techniques in Geography: An Introduction.UK: Oxford University Press.
  1. Pal S. K. (1998): Statistics for Geoscientists, New Delhi, India: Tata McGraw Hill
  2. Silk J. (1979). Statistical Concepts in Geography. London, UK.: Allen and Unwin.
  3. Harris, R. and Jarvis, C. (2011). Statistics for Geography and Environmental Science. London, UK.: Pearson Education Ltd.
  4. Walfford, Nigel (2011) Practical Statistics for Geographers and Earth Scientists, WileyBlackwell.
  5. Rogerson, P.A.(2010) Statistical Methods in Geography,Sage Publications.
Academic Year: 
2024-2025