Practical Approach to Geographic Information Systems
Quick and Easy to learn with Practicals
Updated on Apr, 2024
Language - Hindi
Computer Science,Information Systems
Lectures -37
Duration -2.5 hours
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Course Description
This course provides an introduction to Geographic Information Systems (GIS) and their applications in various fields. GIS is a powerful tool for capturing, storing, analyzing, and managing spatial and geographical data. The course offers a comprehensive understanding of GIS principles, software tools, and practical applications.
Course Objectives:
Understanding GIS Fundamentals: Students will grasp the fundamental concepts of spatial data, coordinate systems, map projections, and spatial analysis.
Hands-on Software Proficiency: Through practical exercises, students will gain proficiency in using industry-standard GIS software, such as QGIS, or others.
Spatial Analysis Techniques: Students will learn various spatial analysis techniques, including overlay analysis, proximity analysis, and raster analysis, to solve real-world problems.
Data Collection and Management: The course will cover data collection methods, database management, and data quality assessment in GIS.
Applications Across Disciplines: Students will explore the diverse applications of GIS in fields such as urban planning, environmental science, public health, and business.
Cartography and Map Design: Understanding cartographic principles and creating effective maps using GIS will be a key component of the course.
Course Structure:
Lectures: Covering fundamental concepts, theories, and practical examples of GIS applications.
Laboratory Sessions: Hands-on experience with GIS software, where students will work on real datasets, perform analyses, and create maps.
Assignments and Projects: Practical exercises and projects designed to apply learned concepts to solve real-world problems.
Case Studies: Reviewing and analyzing case studies that highlight successful GIS applications in different industries and research domains.
Goals
What will you learn in this course:
The primary goal of Geographic Information Systems (GIS) is to capture, store, manipulate, analyze, manage, and present spatial or geographic data. GIS is a powerful technology that allows for the integration of different types of data—both spatial and non-spatial—within a geographical framework. Its main objectives include:
1. Spatial Data Handling: GIS enables the efficient handling and management of spatial data, such as maps, satellite images, and aerial photographs, by organizing them in a way that allows for easy access, retrieval, and analysis.
2. Spatial Analysis: It facilitates the analysis of spatial data, allowing for the exploration of relationships, patterns, and trends within the data. This involves various processes like overlay analysis, proximity analysis, and spatial statistics, which help in decision-making and problem-solving.
3. Visualization and Mapping: GIS allows the creation of visual representations of spatial data in the form of maps. It involves the design of maps that effectively communicate information, making complex spatial data more understandable and accessible to a wider audience.
4. Decision Support: It provides a framework for decision-making by integrating spatial data with other forms of information, enabling better-informed decisions across a spectrum of fields, including urban planning, environmental management, emergency services, public health, transportation, and more.
Prerequisites
What are the prerequisites for this course?
None
Curriculum
Check out the detailed breakdown of what’s inside the course
Practical Approach to Geographic Information Systems using QGIS Software
37 Lectures
-
PGIS Practical - Introduction & Overview
01:59
01:59
-
Installation QGIS
01:20
01:20
-
Points Line and Polygon
07:02
07:02
-
Calculating Line Length and Statistics
03:18
03:18
-
Raster Data
04:49
04:49
-
Raster Mosaicking and Clipping
03:06
03:06
-
Making a Map Using Raster Data
04:39
04:39
-
Making a Map Using Vector Data
03:23
03:23
-
Importing Spreadsheets or CSV
01:29
01:29
-
How to Install Plugins in QGIS
01:37
01:37
-
Troubleshooting - Empty Vector Menu
00:48
00:48
-
Open Street Map
02:37
02:37
-
Select Feature In Vector Layer - Attributes
03:41
03:41
-
Terrain Data & Hill Shade
05:21
05:21
-
Projection & WMS Data
03:33
03:33
-
Georeferencing
04:33
04:33
-
Georeferencing Aerial Images
04:46
04:46
-
Digitizing Map
07:10
07:10
-
Table Join in QGIS
06:03
06:03
-
Spatial Joins in QGIS
02:50
02:50
-
Counting Points in Polygon
02:36
02:36
-
Buffer Around Rivers - Spatial Queries
03:13
03:13
-
Nearest Neighbour Analysis
02:45
02:45
-
Point Sampling Analysis
04:09
04:09
-
Zonal Statistics
04:53
04:53
-
Interpolating Point Data - Interpolation
08:42
08:42
-
Batch Processing - Processing Framework
06:11
06:11
-
Automating Complex Workflow - Processing Modeler
06:14
06:14
-
Automating Map Creation - Print Composer Altas
06:03
06:03
-
Validating Data Using Excel
05:33
05:33
-
Outlier Detection Validating Data Using Excel
03:38
03:38
-
Verifying Coordinates of Mapping Data
05:23
05:23
-
Practice Exam Question Slips - 1
12:20
12:20
-
Practice Exam Question Slips - 2
09:57
09:57
-
Practice Exam Question Slips - 3
08:26
08:26
-
Practice Exam Question Slips - 4
08:50
08:50
-
Practice Exam Question Slips - 5
03:08
03:08
Instructor Details
Pushpa Mahapatro
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