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Geographical Information System


Geographical Information System
EG 3116 CT (Elective)

Total: 7 hour /week
Year:        III
Lecture: 4 hours/week 
Semester:  V
Practical: 3 hours/week

Course Description:
The course deals with concepts and scope of geographic information systems (GIS) and their use for data capture techniques, creating, processing, analyzing and visualizing geographic databases. It is designed to provide students in both the theoretical and practical aspects of  GIS to solve realworld problems.

Course Objectives:
After completing this course the student will able to:
1.     Explain GIS, background, historical development, components and applications of GIS
2.     Explain data capturing for GIS techniques and data creation, digitization, geo-referencing and data management
3.     Design data structures and  formats, 
4.     Analyze of various spatial and non-spatial data in GIS
5.     Describe the  map projection and co-ordinate systems
6.     Explore Triangular Irregular Networks (TIN),  Digital Elevation Model and visualize map output
7.     Explain Global Positioning System ( GPS) and Remote Sensing (RS)
8.     Explore various open GIS programs. 
Course Contents:
Unit
Topics
Contents
Hours
Methods/ Media
Marks
1
Introduction to
Geographical Information
System (GIS):
1.1 Definition, components of GIS and objectives of GIS
1.2 History of GIS and significant events in GIS and geospatial technology
1.3 GIS applications
1.4 Basic concept of spatial information
1.5 Introduction of open concept in
GIS, open source software for
GIS analysis
1.6 Web based GIS system

[10]



2
GIS Data
System:            
2.1 Database Management System
(DBMS)
2.2 Spatial and non-spatial data, type o data structure
2.3 Raster and Vector formats
[12]




Unit
Topics
Contents
Hours
Methods/ Media
Marks


2.4 Advantages and disadvantages of various data structures
2.5 Data input techniques
2.6 Geo-referencing, digitization and scanning methods
2.7 Scale and resolution




3
Map
Projection and Coordinate System:
           
3.1 Concept of longitude, latitude and coordinate system grids
3.2 Coordinate systems
3.3 Ellipsoids and datum 
3.4 Map projections and projection parameters

  [8]        


4
Spatial
Analysis and
Visualization:
4.1
4.2
4.3
4.5
4.6
4.7
4.8
4.9
4.10

Handling spatial and non-spatial data
Analysis, querying and mapping o
spatial database  
Map overlay concepts and overlay analysis
Spatial data analysis with
python
Vector overlay operations and buffering
Use of open street map in vector format
Raster overlay operations and map algebra functions Spatial data conversions
Map layout and basic elements
[12]


5
Introduction of Global Positioning System (GPS) and Remote
Sensing
5.1 Basic Principle of GPS and GPS Segments
5.2 Handling GPS Receiver and Applications in GIS mapping
5.3 Concept of Remote Sensing
5.4 Application of Remote Sensing in GIS mapping


[6]



6
Surface
Analysis and
3D
Visualization
6.1 Introduction and need of Triangular Irregular Networks
(TIN) and Digital Elevation
Model (DEM)
[12]


Unit
Topics
Contents
Hours
Methods/ Media
Marks


6.2 Production of TIN and DEM and
DTM
6.3 Data sources and products of TIN and DEM
6.4 Methods of GIS and spatial interpolation techniques
6.5 Basic concepts of image analysis, Digital Terrain
Modeling and 3D visualization





Practical: 
Implement the following :
[45 hrs]

 

Lab#1: 
Introduction to Arc GIS: Desktop GIS products (Arc View, Arc Editor,
Arc Info, Arc Reader, Extensions), launching Arc Catalog, starting Arc Map, adding data, working with table of contents, navigating map, identifying features, changing map symbols, managing and saving data

Lab#2:
Working with projections: recognizing the coordinate systems, defining projection and projection parameters, projecting shape files, georeferencing images, transformation

Lab#3:
Making maps: symbolizing point, line and polygon, labeling features, designing map layouts, exporting maps

Lab#4:
Modifying attribute: working with tables, calculating values in table, calculating area, perimeter and length, creating XY coordinates, joining tables, creating map using excel location data

Lab#5:
Querying and measuring: querying by attribute and location, measuring distance, buffer, multiple buffer

Lab#6:
Geo-processing analysis: merge, dissolve, clip, intersect, union, model builder

Lab#7:
Digitizing and creating geographical data: creating new shape files, mouse digitizing, editing shape files, 

Lab#8:
Import different formats of data into a GIS from: GPS, hard-copy maps, digital imagery, shapefiles and XY coordinates,

Lab#9:
Spatial and 3D analysis: creating TIN and DEM, interpolation, contour, slope

Lab#10:
Raster overlay analysis: map algebra,  reclassify, convert vector to raster, raster to vector, raster to ASCII

Lab#11:
Integrating non-spatial data (census data) with base map, analyzing data, mapping and visualization 

Lab#12:
Writing, and running geo-processing scripts using Python and other programming languages

Lab#13:
Handling Global Positioning System (GPS) receiver, tracking and locating waypoints, add GPS data to Arc Map and Google Earth for analyzing and visualization

Lab#14:
Retrieving, analyzing and visualizing Open Street Map data using QGIS/ArcGIS

Lab#15:
Installation of QGIS, QGIS interface, adding different formats of data, analysis and visualization using QGIS


Text books:
1.     Chang, K-T. (2015). Introduction to Geographic Information Systems, 8th Edition, McGraw Hill.
2.     Chestern, "Geo Informational Systems - Application of GIS and Related Spatial Information Technologies", ASTER Publication Co., 1992 

References books:
1.     Jeffrey Star and John Estes, "Geographical Information System - An Introduction", Prentice Hall, 1990 
2.     Otto, H and Rolf, A. (2009). Principle of geographic information system: An  Introductory Textbook, International Institute of Geo-information Science and Earth     Observation, The Netherlands.
3.     Tempfli, Klaus, Kerle, Norman, Huurneman, Gerrit and Janssen, L.F. (2009). Principle of Remote Sensing: An            Introductory Textbook, International Institute of Geo-information
Science and Earth Observation, The Netherlands.
4.     Longley, P.A., Goodchild, M., Maguire, D.J., Rhind, D.W. (2015).  Geographical information systems and science. 4th  ed. John Wiley & Sons.
5.     Neteler, M. (2008).  Open source GIS: a GRASS GIS approach. Springer  Science+Business Media, New York.
6.     Anji Reddy M. (2008). Remote sensing & GIS. 3rd Edition, BS Publications, 2008.
7.     Burrough,P.A., "Principles of GIS for Land Resources Assessment", Oxford Publication, 1980.


             

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