ADVANCED PRINCIPLES OF GEOGRAPHICAL INFORMATION SYSTEM (GIS) AND INTRODUCTION TO GPS

Paper Code: 
RES 332
Credits: 
3
Contact Hours: 
90.00
Max. Marks: 
100.00
Objective: 

The students will learn how to arrange and analyse the data received from GIS and GPS.

Learning outcome (at course level)

Learning and teaching strategies

Assessment Strategies

  
 

CLO 02:  The students will learn how to arrange and analyze the data received from GIS and GPS.

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

 

Data Base Management System (DBMS); Data Models; Tabular, Hierarchical,                  

Network: Relational and Object Oriented

Errors and Accuracies in GIS; Attribute Generation; Linking Spatial and                           

Non-Spatial Data 

Spatial Data Analysis: Overlay Operations, Buffering, Interpolation                                   

Methods, Network Analysis and Suitability Analysis

Familiarization of Different Types of (GPS) Global Positioning Receivers;             

Checking of Existing Map Coordinates Using Single GPS Receivers

Collection of Ground Control Points Using Single Point Receivers and                              

Relative Point Receivers

References: 
  • Adrados, C., Girard, I., Gendner, J., &Janeau, G. (2002). Global Positioning System (GPS) location accuracy due to selective availability removal. C. R. Biologies, 325, 165-170.
  • Arvanitis, L., Ramachandran, B., Brackett, D., Rasoul, H., & Du, X. (2000). Multiresource inventories incorporating GIS, GPS and database management systems: A conceptual model. Computers and Electronics in Agriculture, 28, 89-100.
  • Ellis, E. A., Nair, P. K. R., Linehan, P. E., Beck, H. W. &Blance, C. A. (2000). A GIS-based database management application for agroforestry planning and tree selection. Computers and Electronics in Agriculture, 27, 41-55.
  • Lillesand, Remote Sensing And Image Interpretation, 5Th , John Wiley & Sons, 2007.
  • Walsh, A. and J. C. Ollenburger, 2000: Essential Statistics for the Social and Behavioral Sciences: A Conceptual Approach. Prentice Hall, pp. 320. ISBN-13: 978-0130193391
Academic Year: 
2021-2022