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Geographical Information Systems - Part 1

Approx. 16 hours to complete

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Course Summary

Learn the basics of Geographic Information Systems (GIS) and how to use them for data visualization, analysis, and mapping.

Key Learning Points

Understand the fundamentals of GIS and its applications
Learn how to use GIS software to analyze and visualize data
Explore real-world examples of how GIS is used in various industries

Job Positions & Salaries of people who have taken this course might have

- USA: $50,000 - $80,000
- India: ₹400,000 - ₹900,000
- Spain: €20,000 - €40,000
- USA: $50,000 - $80,000
- India: ₹400,000 - ₹900,000
- Spain: €20,000 - €40,000
- USA: $45,000 - $80,000
- India: ₹300,000 - ₹950,000
- Spain: €18,000 - €45,000
- USA: $50,000 - $80,000
- India: ₹400,000 - ₹900,000
- Spain: €20,000 - €40,000
- USA: $45,000 - $80,000
- India: ₹300,000 - ₹950,000
- Spain: €18,000 - €45,000
- USA: $50,000 - $90,000
- India: ₹400,000 - ₹1,200,000
- Spain: €20,000 - €50,000

Learning Outcomes

Gain a foundational understanding of GIS and its applications
Learn how to use GIS software to analyze and visualize data
Apply GIS techniques to real-world scenarios

Prerequisites or good to have knowledge before taking this course

Basic computer skills
Familiarity with spreadsheets

Course Difficulty Level

Beginner

Course Format

Online self-paced
Video lectures
Quizzes

Similar Courses

Geospatial Intelligence & the Geospatial Revolution
Cartography and Visualization

Related Education Paths

Notable People in This Field

Founder and President, Esri
Emeritus Professor, University of California, Santa Barbara

Related Books

Description

This course is organized into two parts presenting the theoretical and practical foundations of geographic information systems (GIS).

- Together theses courses constitute an introduction to GIS and require no prior knowledge. - By following this introduction to GIS you will quickly acquire the basic knowledge required to create spatial databases and produce high-quality maps and cartographic representations. - This is a practical course and is based on free, open-source software, including QGIS. If you study or work in the fields of land management or the analysis of geographically distributed objects such as land use planning, biology, public health, ecology, or energy, then this course is for you! In this first part of the course, we will focus on the digitization and the storage of geodata. In particular, you will learn: - To characterize spatial objects and/or phenomena (territory modeling) with respect to their position in space (through coordinate systems, projections, and spatial relationships) and according to their intrinsic nature (object/vector mode vs. Image/raster mode); - About the different means used to acquire spatial data; including direct measurement, georeferencing images, digitization, existing data source, etc.); - About the different ways in which geodata can be stored - notably, files and relational databases; - How to use data modeling tools to describe and create a spatial database; - To query and analyze data using SQL, a common data manipulation language. The second part of this course will focus on methods of spatial analysis and geodata representation. In this section, you will learn: - How to describe and quantify the spatial properties of discrete variables, for example through spatial autocorrelation; - To work with continuous variables. In particular, we will look at sampling strategies, how to construct contour lines and isovalue curves, and we will explore different interpolation methods; - To use digital elevation models and create their derivative products (i.e. slope, orientation); - How to evaluate the interaction between different types of geodata through overlay and interaction techniques; - How to create effective maps based around the rules of graphic semiology; - Finally, we will also explore other, increasingly common, forms of spatial representation such as interactive web-mapping and 3D representations. You can find an interactive forum for course participants on our Facebook page: https://www.facebook.com/moocsig

Outline

Digitization – Territorial Modeling: Spatial elements and the characteristics
Trailer
Territorial Modeling
Coordinates and projection systems
Introduction to QGIS
Spatial Relationships and Topology
Vectors and Rasters
Projection Systems
Vectors and Rasters

Digitization - Geodata Capture and Documentation
Metadata
Acquisition of Primary Data
Case Study - GIS and Participatory Planning
Georeferencing Imagery
Digitizing Vector Objects
Georeferencing Imagery
Digitizing Vector Objects

Digitization - Automated Capture and Use of Existing Geodata
Automatic Vectorization
Geodata Sources
Case Study - Senegal-Mauritania Biodiversity Project
Module 1 Assignment

Storage - Geodata Structure and Organization
Storing Geographic Information
Relational Databases
Data Modeling
Creating a Test Database
Case Study - Urban Development and Management in Touba
Storage
UML

Storage - Data Management with SQL
SQL Language and Queries
Conditional Queries
Aggregation and Sorting Queries
Compound and Nested SQL Queries
DDL, DML, and Views
SQL Basics
WHERE Clause
Aggregation and Sorting Queries
Compound and Nested SQL Queries
Data Definition and Manipulation

Storage - Spatial SQL and NoSQL Databases
Geometrical Spatial Queries
Topological Spatial Queries
NoSQL Databases
Case Study - Brushfires in the Sahel
Geometrical Spatial Queries
Topological Spatial Queries
Module 2 Assignment

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