Geographic Information Systems, Principles of Geographic Information Systems
What you will learn
Understanding GIS Fundamentals: Students should grasp the core concepts of GIS, including spatial data types, coordinate systems, and basic functionalities
Proficiency in GIS Software: Mastering the use of specific GIS software (such as QGIS, etc.) to manipulate, analyze, and visualize geographic data.
Spatial Analysis Techniques: Learning various analytical methods used in GIS, including spatial querying, overlay analysis, proximity and network analysis
Map Design and Visualization: Creating effective maps and visual representations of geographic data, understanding cartographic principles
Why take this course?
Geographic information system is one the major component of Geo-spatial technologies.
Spatial data are becoming crucial and being part of everyday life, GIS help to collect, manage, analyse and produce output from spatial data in an efficient way. Today, GIS technology is not limited to mapping as before, and used in various fields for visualisation, spatial analysis, machine learning (including artificial intelligence), and decision making.
This course is to introduce Geographic Information System and its applications to apply knowledge of GIS in other courses offered.
Learning outcomes
Upon completion of this course, a fully engaged student will be able to:
• Know the basic concepts in GIS
• Work with basic tools in GIS software
• Understand and manage spatial information
• Apply GIS tools and techniques in related applications
List of practicals
1. An Introduction to commonly used tools in QGIS software.
2. Working with Spatial data: Raster and vector data creation and importing spatial data.
3. Spatial data conversion and map making.
4. Working with Indian Geo platform of ISRO.
5. Base map creation.
6. Preparing thematic layers for urban planning.
Spatial data: Definition, VS Nonspatial data, types (raster and vector), characteristics, sources (including Bhuvan Geo-portal), creation, topology, and standards, Introduction to spatial data analysis. National level initiatives for creating spatial data infrastructure in India.