Practical Approach to Geographic Information Systems
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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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