Practical Approach to Geographic Information Systems
What you'll 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
Requirements
- None
Description
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.
Who this course is for:
- Beginners who want to learn about Geographic Information Systems
Instructor
- 4.8 Instructor Rating
- 19 Reviews
- 2,024 Students
- 4 Courses
Mrs. Pushpa Mahapatro is a researcher in the field of Bioinformatics, Artificial Intelligence (AI) and machine learning with a strong academic and professional background. She holds a M. Phil. in Computer Science, where her research focused in the study and implementation of Bioinformatics, Image Processing and Cloud Computing. Ms. Pushpa Mahapatro expertise extends beyond academia by having sound technical knowledge. During her tenure, she contributed significantly to the development of content for different subjects, including the Data Science, Principles of Geographic Information Systems, Image Processing, Cloud Computing and many more.
Currently, Mrs. Pushpa Mahapatro is a faculty member in the Department of Information Technology at Vidyalankar School of Information Technology, Wadala East, Mumbai -37. Mrs. Pushpa Mahapatro extensive knowledge and practical experience in Bioinformatics, AI and machine learning make her a highly qualified author for this research paper. Her contributions are integral to the discussion of the technical aspects and ethical considerations of the research paper.