RS4102 Geographical Information System Syllabus:
RS4102 Geographical Information System Syllabus – Anna University PG Syllabus Regulation 2021
OBJECTIVES:
Expose the students with concepts of cartography as major components of input and output related to cartography.
To provide exposure to data models and data structures in GIS and to introduce various Raster and Vector Analysis capabilities.
To expose the concept of quality and design of cartographic outputs in open GIS environment.
UNIT I CARTOGRAPHY
Definition of Map – Mapping Organsiation in India- Classification based on Function, Scale, Characteristics – Ellipsoid and Geoid – Co-ordinate Systems – Rectangular and Geographic Coordinates – UTM and UPS – Projection – Function – Types of Map Projections – Transformations – Function – Affine transformation – Choice of Map Projection – Evolution of cartography- GeoSpatial, Spatial and Non-spatial data – Definition of GIS – Evolution GIS – Components of GIS – Digital Cartography concepts. – 3D GIS.
UNIT II GIS DATA MODELS AND DATA INPUT
Point, Line Polygon / Area, elevation and surface –Tessellations – Attributes and Levels of Measurement – Data Sources – Ground and Remote Sensing survey – Collateral data collection – Input: Map scanning and digitization, Registration and Georeferencing – Concepts of RDBMS – Raster Data Model – Grid – Data Encoding – Data Compression – Vector Data Model – Topological properties – Arc Node Data Structure – Raster Vs. Vector Comparison – File Formats for Raster and Vector – Data conversion between Raster and vector.
UNIT III RASTER AND VECTOR DATA ANALYSIS
Raster Data analysis: Local, Neighborhood and Regional Operations – Map Algebra – Vector Data Analysis: Topological Analysis, point-in-polygon, Line-in-polygon, Polygon-in-Polygon – Proximity Analysis: buffering, Thiessen Polygon – Non-topological analysis: Attribute data Analysis- concepts of SQL– ODBC
UNIT IV NETWORK ANALYSIS AND SURFACE ANALYSIS
Network – Creating Network Data – Origin, Destination, Stops, Barriers – Closest Facility Analysis, Service Area Analysis, OD Cost matrix analysis, Shortest Path Analysis – Address Geocoding – Surface Analysis – DEM, DTM – Point data to Surface interpolation – DEM Representaiton – Applications
UNIT V DATA OUTPUT AND WEB BASED GIS
Map Compilation – Cartographic functionalities for Map Design – Symbolization – Conventional signs and symbols – Spatial Data Quality – Lineage, Positional Accuracy, Attribute Accuracy, Completeness, Logical Consistency – Meta Data – Web based GIS Merits – Architecture – Map Server – Spatial Data Infrastructure –Spatial Data Standards – OGC Standards – Free and Open Source – Proprietary – GIS Software.
OUTCOMES:
On completion of the course, the student is expected to be able to
CO1 Understand the Characteristics and Components of Maps and GIS
CO2 Perform input of Spatial and Non-spatial data into GIS
CO3 Analyse Spatial Relationship between Elements using GIS tools
CO4 Evaluate Network and Surface Data for Decision Making
CO5 Present the Spatial Information and Access the Quality against Standards
REFERENCES:
1. Kang-tsung Chang, Introduction to Geographic Information Systems: 9th Edition, 9781259929649, McGraw-Hill Education, 2018
2. Lo, C.P. and Yeung, Albert K.W., Concepts and Techniques of Geographic Information Systems, Pearson, 2018, 9th edition.
3. Ian Heywood, Sarah Cornelius, Steve Carver, An Introduction to Geographical Information Systems, Pearson Education, 4th Edition, 2011.
4. Michael N. DeMers, Fundamentals of geographic information systems, Wiley, 2012, 4th edition
5. Borden D Dent, Jeff Torguson, Thomas W. Hodler, Cartography: Thematic Map Design 6th Edition, ISBN-13: 978-0072943825 McGraw-Hill Education – Europe, 2008