Intermediate GIS in QGIS 3

Intermediate GIS in QGIS 3

The intermediate GIS in QGIS 3 course is dedicated for people who already know the basics of working in the QGIS 3 environment and want to expand their skills in the field of spatial data analysis and processing.

During the course you will learn more advanced techniques of working with data. You will learn how to create data frames and extract raster data from them, how to create indexes, and what happens when we mess up the coordinate systems. You will delve into the issues of data geometry analysis and you will learn how to create geoprocessing models and automate your work in QGIS. You will see how to approach the linear route analysis problem, how to sample raster values to vector geometry ​​and calculate slopes based on them. At the end of the course, you will learn about the KML files and data, as well as how to create and use it in Google Maps.

During the course, we will work on solving the problem presented at the beginning of the course. The course is designed in such a way that various errors and problems arise as you work, so you will see how to deal in different ways with possible problems that you may encounter in your future work.

In order to efficiently implement the scope and content of the course, you should know the basics of working in the QGIS 3 software, in particular the issues of geoprocessing, visualization and data digitization - all these issues are discussed at the basic level of the course.

The course is based on free QGIS software, in the latest, 3rd version, and publicly available spatial data. Thanks to the Open-Source license, QGIS is widely used by many companies, both state-owned and in the private sector. The environment is constantly being developed, updated and regularly translated into many languages. The multitude of available data analysis options makes it one of the most popular GIS programs in the world!

geometry geoprocessing, GPX, KML and maps in Google.

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What you will learn

• Working in QGIS 3
• Working on spatial data
• Creating frames and data indexes

Rating: 4.09091

Level: Intermediate Level

Duration: 7 hours

Instructor: Krzysztof Raczynski