- Inter-faculty Studies in Bioinformatics and Systems Biology
- Bachelor's degree, first cycle programme, Computer Science
- Bachelor's degree, first cycle programme, Mathematics
- Master's degree, second cycle programme, Bioinformatics and Systems Biology
- Master's degree, second cycle programme, Computer Science
- Master's degree, second cycle programme, Mathematics
Data Styling and Visualization in QGIS: From Basics to Advanced Techniques 1900-SPDQG(KC)-OG
The course provides practical training in methods of styling and presenting GIS data using QGIS (open-source software).
Students will carry out tasks and projects aimed at familiarizing themselves with and practicing advanced techniques for data styling and visualization in QGIS. They will also learn methods for automatically generating map series using the Atlas feature. Exercises will be performed on datasets provided by the instructor or, alternatively, students may use their own data (e.g., related to their thesis projects).
Topics covered in the course include:
- Introduction to QGIS: program interface, basic workflow concepts, including layers, projects, and plugins.
- Data formats: data models (raster and vector), most commonly used formats.
- Coordinate reference systems: frequently used CRS, working with CRS in QGIS.
- Working with different data types and sources: vector and raster data sources, including GPS, official statistics (e.g., GUS), OpenStreetMap (OSM), WMS/WMTS and WFS services, - Digital Elevation Models (DEM), and Urban Atlas datasets.
- Layer visualization and styling: raster and vector layers, including creation of custom symbology.
- Vector data creation and editing: digitizing tools, working with attribute tables, data joins.
- Fundamentals of spatial data analysis: feature selection, field calculations, basic statistics, and geoprocessing tools.
- Map preparation: creating print layouts.
- Advanced styling and visualization: rule-based symbology, expressions, variables, data-driven styling, and application of visual effects.
- Symbol libraries: sharing and importing symbol sets, principles for designing and using custom SVG symbols.
- 3D visualization: creation and management of 3D models.
- Advanced map functions: Atlases and reports.
Type of course
Mode
Prerequisites (description)
Course coordinators
Assessment criteria
Attendance at tutorials is mandatory (one absence is permitted).
Final grade is based on points earned for tutorials and projects completed during the course.
Bibliography
QGIS User Guide: https://docs.qgis.org/3.40/en/docs/user_manual/index.html
QGIS Case Studies: http://www.qgis.org/en/site/about/case_studies/index.html
QGIS Training Manual https://docs.qgis.org/3.40/en/docs/training_manual/index.html
Pieniążek M., Zych M. (2017) Mapy statystyczne. Opracowanie i prezentacja danych. GUS.
https://stat.gov.pl/download/gfx/portalinformacyjny/pl/defaultaktualnosci/6079/1/1/1/mapy_statystyczne_2017.pdf
Additional information
Information on level of this course, year of study and semester when the course unit is delivered, types and amount of class hours - can be found in course structure diagrams of apropriate study programmes. This course is related to the following study programmes:
- Inter-faculty Studies in Bioinformatics and Systems Biology
- Bachelor's degree, first cycle programme, Computer Science
- Bachelor's degree, first cycle programme, Mathematics
- Master's degree, second cycle programme, Bioinformatics and Systems Biology
- Master's degree, second cycle programme, Computer Science
- Master's degree, second cycle programme, Mathematics
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: