A convenient world met through coding! 🌎
With this QGIS Python automation course,
master Python, GIS, and automation all at once.
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GIS, which has recently seen a rapid increase in utility and importance. Does it still feel unfamiliar and difficult to you?
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Python, used by everyone from students to professionals. Are you tired of learning nothing but boring theories?
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Automation saves my time and money. Do you want to apply it to GIS as well?
👉 If so, take this course!
The most essential QGIS functions, Python code, and QGIS automation analysis methods using both are all included. Meet QGIS Python Automation (Vector Edition) Ver.2, where you can learn quickly from the basics!!
The space we live in is becoming increasingly subdivided and sophisticated. This leads to the diversification of spatial data, which has now become so close to our lives that we can no longer afford to ignore it.
This lecture provides a friendly introduction to the concepts and practical analysis functions of GIS, which form the foundation of spatial data.
GIS (Geographic Information System) refers to a 'Geographic Information System' that converts geographic information necessary for our lives into computer data to be
utilized efficiently.
Data collectionstorageprocessing analysisvisualization
Coding has also become an essential element of our lives. For modern people who cannot live a life separated from digital technology, coding is an important tool that will make our lives more convenient and prosperous. The basic syntax of Python learned in this course is directly linked to the final goal of the course, the automation of QGIS.
There is a saying that "even if you have three bushels of beads, they are not a treasure unless they are strung together." We are living in an era overflowing with beads of information, but we find ourselves constantly chased by time because we cannot actually string them together.
This course shares how to automate using GIS and Python to string the beads together quickly and efficiently.
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You can save your precious time.
You can automate GIS tasks that were previously handled manually by delegating them to a computer with just a few lines of code.
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Failure is no longer something to fear.
Did something come up that needs to be fixed in the middle? By simply changing the numbers, you can re-run the analysis as many times as you want with just one click.
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You can turn everything you imagine into reality.
It's not that you won't be able to use other features just because we practice specific ones. This course teaches you how to fish.
The course is designed with a concise and clean structure.
Drawing from my experience as a current researcher, you will practice essential QGIS basic functions that are most frequently used.
Before taking the full course, try it out through the free lessons!! nhé!!
As a non-coding major myself, I understand the difficulties of encountering coding for the first time better than anyone. Instead of boring theory, you can learn while experiencing the fun of coding through practical exercise problem-solving.
We will practice automating QGIS functions using Python with code that can be applied in real-world scenarios. After completing the practice, we have organized three analysis processes into practical analysis examples.
- Practical Example 1: Analysis of Public Wi-Fi Underserved Areas in Seoul
- Practical Example 2: Analysis of Buildings Jointly Included Within the Radius of Seoul Bus Stops and Subway Stations
- Practical Example 3: Creation of Land Cover Maps by District in Seoul
- Practical Example 4: Analysis of the Number of Serviceable Emergency Rooms According to Buffer Zones by Legal Dong in Seoul
allowing you to perform powerful functions required for GIS
through Python code.
The GIF below is the result of the example code used in the actual class. Through the -Practical Example 3-
lecture, try automating all the GIS analysis you've ever imagined!!
A Python code guide personally written by the instructor for convenient automation is also provided!!tự động hóa một cách tiện lợi!!
All course materials and practice files used in the lecture have been compressed and uploaded.
Please download the materials once at your convenience and enjoy the lecture!!
The instructor has personally written and provided a Python code guide for all QGIS functions used in Section 1 and Section 3.
Utilize the code guide to easily modify parameters according to QGIS functions and use them to your heart's content!!
And try modifying them into your own code to suit your taste!!
#vector guide code by UPWISE#.py
Buffer | Clip | Intersection | Dissolve | Deleteholes | Difference | Merge | Reprojection |
Spatial Index | Extract by Location | Split Vector Layer | Join by Location Summary | Join Attributes Table
Since the initial release of the lecture, new features (Join Attributes by Location Summary, Join Attributes Table) have been updated with additional theory & hands-on practice and Python code exercises.
Additionally, I have added Practical Example 4 so that you can apply both newly learned and existing functions in more complex environments.
Additionally, I have re-recorded and uploaded the sections on Buffer, Clip/Intersect, and Dissolve/Delete Holes from the existing course content, so current students are encouraged to check them out. The lecture materials have also been newly organized and uploaded according to the section numbers and lesson content, so please check those as well. Thank you! :)
Q. Is basic knowledge required?
Having prior knowledge of GIS and Python will be a great help in understanding the lecture and making the content your own. However, even if you have never used them before, there is no need to worry as I will explain everything starting from the basics. 😊
Q. In which fields can this be used?
I am a doctoral student and primarily use it for my research. I believe it will be highly useful for fellow students like myself or those who use GIS for their work. However, the world is full of endless tasks and possibilities. I expect it to be utilized effectively in any field where GIS can be applied.
Q. Can I skip the parts I already know?
Yes, this lecture covers the basics of GIS and Python. If you are specifically interested in automation methods, you may skip directly to Section 3. However, please check the table of contents for Section 1 and Section 2 first, and if there is anything you are unfamiliar with, I recommend taking those lessons before moving forward! 👍
Q. Will I actually use this a lot after finishing the course?
Before I started using Python within QGIS for analysis, I performed all tasks manually. However, in order to improve work efficiency, I began studying analysis through coding, and now I handle most tasks—even simple analyses—using code. If you take this course and build up your own code through actual application, you will be able to equip yourself with convenient tools that you can use frequently. 💻
Q. What are the advantages of integrating QGIS and Python?
You can simultaneously utilize the advantages of Python coding and the features offered by QGIS software!! 🎉
Various Python modules such as geopandas and folium already support GIS tasks within Python. However, the limitations of working solely with Python modules are clear. Immediate and diverse visualization is difficult, and integration with local files is complex. Furthermore, there are limitations regarding analysis functions.
However, Python code executed within QGIS can be added directly to QGIS layers, allowing you to utilize all available QGIS features in the same way thereafter.
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| A Quick Taste of Trendy QGIS Visualization | | QGIS Map Visualization A to Z (Vector/Basic Edition) | | QGIS All-in-One Starter Pack for Beginners |
Roadmap to becoming a QGIS expert
Instructor Introduction Page: upwise.co.kr
I was learning GIS for school recently, and this QGIS lecture was exactly what I needed. The lecture structure is concise, and the content explained by the instructor and the supplementary materials are excellent, so it goes right into my ears. It was hard to find GIS lectures, but I'm glad I found such a great lecture. If there's anyone who's hesitating to take the class, definitely listen to it!!!!
It reminds me of when I self-studied GIS basics before. Thank you.
The lecture is easy and good. I think it is a valuable and useful lecture that can be used with Python.
This is the best lecture recommended to both beginners and practitioners of GIS!!! Since the lecture was uploaded, I have listened to all the lectures during the holiday period. Currently, I am only solving 3 real-life examples and comparing them with the solution videos uploaded by the instructor. I think the biggest advantage of this lecture is its clear goals and maximizing learning efficiency through practice. As you mentioned in the lecture introduction video, the ultimate goal is to learn automation methods using QGIS and Python, and I felt that all the lectures in each section are aimed at that goal. I use GIS frequently in my field, and I often use simple functions rather than advanced analysis functions. Fixed repetitive tasks were the main focus, but I am going to apply what I learned this time to my work right away!! :) It was hard to find GIS lectures on Infraon as well as other lecture platforms, so I would like to thank the instructor for creating such a wonderful lecture, and I look forward to other contents you will create in the future!!
I am listening to the class well. I still have a bit more to learn, but thank you for explaining it in detail.
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