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Introduction to GIS and Remote Sensing with R

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Based on 18 ratings
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Hello. I invite you to enroll in my course on GIS and remote sensing using R software, which you will be able to combine seamlessly with

Give a twist to your professional career with a new skill that will put you a step above the rest, because programming applied to GIS and remote sensing is here to stay.

R is a program widely used around the world and makes it easy to analyze satellite data. Forget about spending hours processing an image or vector file. Increase your productivity and don't fill your computer with unnecessary memory.

Read more

Hello. I invite you to enroll in my course on GIS and remote sensing using R software, which you will be able to combine seamlessly with

Give a twist to your professional career with a new skill that will put you a step above the rest, because programming applied to GIS and remote sensing is here to stay.

R is a program widely used around the world and makes it easy to analyze satellite data. Forget about spending hours processing an image or vector file. Increase your productivity and don't fill your computer with unnecessary memory.

Forget about having to perform the same procedure over and over again in a slow and tiring way. Create your own programming codes, giving them your special touch, because programming is an art and merged with GIS and remote sensing creates a masterpiece.

Welcome to the world of reproducible research, where through programming codes you will be able to replicate specific tasks and functions as many times as you want and in an easy way.

Be part of the worldwide R community, where everyone helps each other in order to learn as much as possible.

What are you waiting for. It's up to you to join the world of Big Data in remote sensing.

Sign up for the course and I promise you won't regret it.

See you in class.

Andrés.

Enroll now

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Read about what's good
what should give you pause
and possible dealbreakers
Incorporates coding and programming into GIS and remote sensing, advancing skills in both fields
Leverages R, a widely recognized and utilized programming language for analyzing satellite data
Enhances productivity and efficiency by automating tasks with custom programming codes
Embraces reproducible research, allowing for easy replication and verification of results
Connects learners to a global community of R users, fostering collaboration and knowledge sharing

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Reviews summary

Practical gis and remote sensing with r

According to learners, this course offers a highly practical and hands-on introduction to GIS and remote sensing using R. Many commend its focus on automation and reproducible research, finding it incredibly valuable for professional development and productivity. Students highlight the clear explanations and easy-to-follow code examples provided by the instructor. While some absolute beginners with no prior programming experience found the pace challenging in later sections, the consensus is that it provides a solid foundation. Recent reviews indicate the course has seen continuous improvements, addressing earlier concerns about consistency.
Covers broad topics, but some areas could use more depth.
"I felt some parts, particularly on advanced data processing, could have gone deeper."
"It's a good foundation, but I definitely need to seek out additional resources to fully grasp everything, especially the remote sensing specific parts."
"The depth is not always consistent; some topics feel very introductory, while others jump to advanced levels."
"I think the quizzes were a bit too simple compared to the project complexity. A few more conceptual explanations wouldn't hurt."
Course content shows signs of ongoing updates and refinement.
"Some of the older material felt slightly less polished, but recent updates seem to have addressed some of these concerns."
"The material is very up-to-date and practical; it feels continuously maintained."
"I noticed that the course has improved over time, becoming even more comprehensive."
"It's clear the instructor is responsive to feedback, making the learning experience better for everyone."
Instructor provides clear explanations and useful examples.
"The instructor explained complex topics clearly and provided real-world examples."
"The instructor's explanations are superb, and the code examples are easy to follow."
"I loved how the instructor demystified complex Big Data techniques."
"The instructor was very responsive in the forums too, which was incredibly helpful."
Equips students with practical, job-ready skills in GIS & R.
"The hands-on projects using R for GIS and remote sensing were incredibly practical. I already feel confident applying these skills in my job."
"Learning to combine R with GIS for big data was exactly what I needed. This course significantly improved my productivity."
"As a professional in urban planning, integrating GIS with R has been a long-standing goal. This course delivered perfectly."
"The emphasis on automation and reproducible workflows is a major plus, and I gained valuable skills."
Pace can be challenging for those without R background.
"For a complete beginner, it might be a bit fast-paced at times, but still manageable."
"I struggled with the pace. While the R programming aspects were clear, the GIS concepts were sometimes rushed."
"I have no prior programming experience, and it quickly assumes a level of comfort with R that I didn't have."
"Some topics feel very introductory, while others jump to advanced levels which can be difficult to follow."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Introduction to GIS and Remote Sensing with R with these activities:
Review 'Introduction to GIS and Remote Sensing' by David H. Green
Get a basic understanding of the concepts of GIS and remote sensing.
View Conserving Forest Diversity through Ecosystem... on Amazon
Show steps
  • Read Chapters 1-3
  • Complete the exercises in Chapter 3
Organize your course notes, assignments, quizzes, and exams
Stay organized and improve your understanding of the course material by organizing your notes and assignments.
Show steps
  • Create a system for organizing your materials.
  • Regularly review and update your organized materials.
  • Use your organized materials to study for quizzes and exams.
Review R for Data Science by Hadley Wickham
Gain a solid foundation in R programming and data analysis by reading this comprehensive guide.
View R Packages on Amazon
Show steps
  • Read the first three chapters of the book.
  • Complete the exercises at the end of each chapter.
Ten other activities
Expand to see all activities and additional details
Show all 13 activities
Complete online coding challenges on platforms like HackerRank or LeetCode
Sharpen your coding skills and prepare for technical interviews by practicing coding challenges.
Browse courses on Coding
Show steps
  • Choose a platform and sign up.
  • Select a challenge and attempt to solve it.
  • Review your solution and identify areas for improvement.
Follow online tutorials on GIS or remote sensing topics
Expand your knowledge and skills by following structured tutorials on specific GIS or remote sensing topics.
Show steps
  • Identify a topic that you want to learn more about.
  • Find a reputable online tutorial.
  • Follow the tutorial step-by-step.
Follow the 'GIS and Remote Sensing with R' tutorial series
Develop practical skills in using R for GIS and remote sensing tasks.
Browse courses on GIS
Show steps
  • Watch the video tutorials
  • Complete the practice exercises
  • Apply the techniques to a small project
Write a blog post on a GIS or remote sensing topic
Enhance your understanding of a topic by teaching it to others through a well-written blog post.
Browse courses on GIS
Show steps
  • Choose a topic that you are passionate about.
  • Research the topic thoroughly.
  • Write a clear and concise blog post.
Participate in workshops or training sessions on GIS or remote sensing software or techniques
Enhance your skills and knowledge by participating in workshops or training sessions conducted by industry experts.
Show steps
  • Identify relevant workshops or training sessions.
  • Register for the events and attend.
  • Actively participate in the workshops and ask questions.
Complete the 'R for GIS' practice problems
Improve your proficiency in using R for GIS and remote sensing.
Browse courses on R Programming
Show steps
  • Solve the practice problems
  • Check your answers against the provided solutions
Create a portfolio of data visualizations using R
Showcase your GIS and remote sensing skills by creating a portfolio of compelling data visualizations.
Show steps
  • Identify a dataset to visualize.
  • Choose appropriate visualization techniques.
  • Create the visualizations using R.
Attend industry events and meetups related to GIS or remote sensing
Expand your professional network and stay up-to-date on the latest trends by attending industry events.
Show steps
  • Identify relevant industry events and meetups.
  • Register for the events and attend.
  • Network with other professionals and learn about their work.
Create a map of your local area using R
Apply your skills to create a practical and visually appealing representation of your local area.
Browse courses on GIS
Show steps
  • Acquire data on your local area
  • Preprocess and analyze the data using R
  • Create a map using the 'ggplot2' package
Develop a GIS map or remote sensing analysis project
Apply your GIS and remote sensing skills to solve a real-world problem or demonstrate your understanding of a complex concept.
Show steps
  • Define the scope of the project.
  • Gather and prepare the necessary data.
  • Analyze the data using GIS or remote sensing techniques.

Career center

Learners who complete Introduction to GIS and Remote Sensing with R will develop knowledge and skills that may be useful to these careers:
Geospatial Analyst
A Geospatial Analyst combines their knowledge in geography and information systems to analyze and solve geographic problems. They may work with satellite imagery and other Earth observation data to identify patterns and trends or create maps and other visualizations to communicate geospatial information. This course provides a strong foundation in GIS and remote sensing using R software, which are essential skills for a Geospatial Analyst.
See salaries and explore the career path for Geospatial Analyst
Remote Sensing Analyst
Remote Sensing Analysts use satellite imagery and other Earth observation data to analyze and interpret the Earth's surface. They may work with a variety of software and tools to process and analyze data, including R software. This course provides a strong foundation in GIS and remote sensing using R, which are essential skills for a Remote Sensing Analyst.
See salaries and explore the career path for Remote Sensing Analyst
GIS Specialist
GIS Specialists use geographic information systems (GIS) to create and manage geographic data. They may work with a variety of software and tools to collect, process, and analyze data, including R software. This course provides a strong foundation in GIS and remote sensing using R, which are essential skills for a GIS Specialist.
See salaries and explore the career path for GIS Specialist
Data Scientist
Data Scientists use data to solve problems and make decisions. They may work with a variety of data sources, including satellite imagery and other Earth observation data. This course provides a strong foundation in GIS and remote sensing using R, which can be helpful for Data Scientists who work with geospatial data.
See salaries and explore the career path for Data Scientist
Environmental Scientist
Environmental Scientists use science to study the environment and solve environmental problems. They may work with a variety of data sources, including satellite imagery and other Earth observation data. This course provides a strong foundation in GIS and remote sensing using R, which can be helpful for Environmental Scientists who work with geospatial data.
See salaries and explore the career path for Environmental Scientist
Geographer
Geographers study the Earth's surface and its human and natural environment. They may work with a variety of data sources, including satellite imagery and other Earth observation data. This course provides a strong foundation in GIS and remote sensing using R, which can be helpful for Geographers who work with geospatial data.
See salaries and explore the career path for Geographer
Cartographer
Cartographers create maps and other visualizations to communicate geospatial information. They may work with a variety of software and tools, including R software. This course provides a strong foundation in GIS and remote sensing using R, which are essential skills for a Cartographer.
See salaries and explore the career path for Cartographer
Urban Planner
Urban Planners plan and design cities and towns. They may work with a variety of data sources, including satellite imagery and other Earth observation data. This course provides a strong foundation in GIS and remote sensing using R, which can be helpful for Urban Planners who work with geospatial data.
See salaries and explore the career path for Urban Planner
Natural Resource Manager
Natural Resource Managers manage natural resources, such as forests, water, and wildlife. They may work with a variety of data sources, including satellite imagery and other Earth observation data. This course provides a strong foundation in GIS and remote sensing using R, which can be helpful for Natural Resource Managers who work with geospatial data.
See salaries and explore the career path for Natural Resource Manager
Disaster Risk Manager
Disaster Risk Managers develop and implement plans to reduce the risk of disasters, such as earthquakes, floods, and wildfires. They may work with a variety of data sources, including satellite imagery and other Earth observation data. This course provides a strong foundation in GIS and remote sensing using R, which can be helpful for Disaster Risk Managers who work with geospatial data.
See salaries and explore the career path for Disaster Risk Manager
Climate Change Analyst
Climate Change Analysts study the causes and impacts of climate change. They may work with a variety of data sources, including satellite imagery and other Earth observation data. This course provides a strong foundation in GIS and remote sensing using R, which can be helpful for Climate Change Analysts who work with geospatial data.
See salaries and explore the career path for Climate Change Analyst
Sustainability Analyst
Sustainability Analysts develop and implement plans to reduce the environmental impact of businesses and organizations. They may work with a variety of data sources, including satellite imagery and other Earth observation data. This course provides a strong foundation in GIS and remote sensing using R, which can be helpful for Sustainability Analysts who work with geospatial data.
See salaries and explore the career path for Sustainability Analyst
Risk Analyst
Risk Analysts assess and manage risks for businesses and organizations. They may work with a variety of data sources, including satellite imagery and other Earth observation data. This course provides a strong foundation in GIS and remote sensing using R, which can be helpful for Risk Analysts who work with geospatial data.
See salaries and explore the career path for Risk Analyst
Asset Manager
Asset Managers manage the physical and financial assets of businesses and organizations. They may work with a variety of data sources, including satellite imagery and other Earth observation data. This course provides a strong foundation in GIS and remote sensing using R, which can be helpful for Asset Managers who work with geospatial data.
See salaries and explore the career path for Asset Manager
Insurance Underwriter
Insurance Underwriters assess and manage risks for insurance companies. They may work with a variety of data sources, including satellite imagery and other Earth observation data. This course provides a strong foundation in GIS and remote sensing using R, which can be helpful for Insurance Underwriters who work with geospatial data.
See salaries and explore the career path for Insurance Underwriter

Reading list

We've selected eight books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Introduction to GIS and Remote Sensing with R.
Cover image
Geographic Information Science and Systems
Save
Provides a comprehensive overview of the principles and applications of GIS and remote sensing. It valuable resource for students and professionals in the field.
Geographic Information Science & Systems
Paperback
$$$$
Geographic Information Systems and Science
Kindle Edition
$$
Geographic Information Systems & Science
Paperback
$$
Geographic Information Systems and Science
Paperback
$$
Cover image
Remote Sensing and Image Interpretation
Save
Provides a comprehensive overview of the principles and applications of remote sensing and image interpretation. It valuable resource for students and professionals in the field.
Remote Sensing and Image Interpretation
Paperback
Check
Remote Sensing and Image Interpretation
Kindle Edition
Check
Cover image
The R Book
Save
Provides a comprehensive overview of the R programming language. It valuable resource for students and professionals in the field.
The R Book
Hardcover
$$$
The R Book
Kindle Edition
$$$
Cover image
R Packages
Save
Provides a practical guide to spatial data analysis with R. It valuable resource for students and professionals in the field.
R Packages
Kindle Edition
$$
Cover image
Spatial Statistical Methods for Geography
Save
Provides a comprehensive overview of statistical methods for geography. It valuable resource for students and professionals in the field.
Spatial Statistical Methods for Geography
Paperback
$$$
Spatial Statistical Methods for Geography
Kindle Edition
$$$
Cover image
Constructing Cultural Tourism
Save
Provides a comprehensive overview of geographic information systems. It valuable resource for students and professionals in the field.
Constructing Cultural Tourism: John Ruskin and the...
Paperback
$$
Constructing Cultural Tourism: John Ruskin and the...
Kindle Edition
$$
Cover image
Introduction to Remote Sensing
Save
Provides a comprehensive overview of remote sensing. It valuable resource for students and professionals in the field.
Introduction to Remote Sensing
Hardcover
$$$
Introduction to Remote Sensing
Kindle Edition
$$$
Cover image
The Earth and Its Peoples
Save
Provides a gentle introduction to the R programming language. It valuable resource for students and professionals who are new to the language.
The Earth and Its Peoples: A Global History (AP...
Hardcover
$$$
The Earth and Its Peoples: A Global History
Hardcover
$$$$
The Earth and Its Peoples: A Global History, Volume...
Paperback
$$$$
The Earth and Its Peoples: A Global History, Volume...
Paperback
$$$
The Earth and Its Peoples: A Global History, Volume...
Paperback
$$$
Cengage Advantage Books: The Earth and Its Peoples,...
Paperback
$$
The Earth and Its Peoples: A Global History, Volume...
Paperback
$$$$
The Earth and Its Peoples, Brief Volume I: To 1550:...
Paperback
$$$$
The Earth and Its Peoples: A Global History, Volume...
Paperback
$$$
Earth And Its People, 4th Edition
Hardcover
$$$
The Earth and Its Peoples: A Global History
Kindle Edition
$$$
The Earth and Its Peoples: A Global History, Volume...
Kindle Edition
$$$
The Earth and Its Peoples, Brief Volume I: To 1550:...
Kindle Edition
$$$
The Earth and Its Peoples, Brief Volume II: Since...
Kindle Edition
$$$
The Earth and Its Peoples, Brief: A Global History
Kindle Edition
$$$

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Traffic lights
Read about what's good
what should give you pause
and possible dealbreakers
Incorporates coding and programming into GIS and remote sensing, advancing skills in both fields
Leverages R, a widely recognized and utilized programming language for analyzing satellite data
Enhances productivity and efficiency by automating tasks with custom programming codes
Embraces reproducible research, allowing for easy replication and verification of results
Connects learners to a global community of R users, fostering collaboration and knowledge sharing
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