Certificate Authentication

Course Contents:

• Getting started with QGIS
  • Description of QGIS (interface, preferences, releases)
  • Using bookmarks and measurement tools
  • Geodata
  • Different data types in QGIS
  • Data Acquisition, Data Resolution, Metadata
  • QGIS Data Representation
• Geodata
  • Different data types in QGIS
  • Data Acquisition, Data Resolution, Metadata
  • Spatial Join
  • QGIS Toolkit
• Vector Data
  • Introduction
  • Querying GIS Data with SQL
  • Export
  • Georeferencing
  • Data Creation - quick exercise
  • Quick Introduction to Vector Analysis
• Vector analysis
  • Operations with vector data (Union, Intersect, Dissolve, Clip, Erase, Buffer)
  • Quick Exercise around Georeferencing, Editing, Digitizing, Analysis
• Raster Data Management
  • Terrain analysis based on DEM/DTM
  • Extract contour lines
  • Shade Map / Slope Map
  • Cutting a Raster
• Land Use Map and Remote Sensing
  • Reminder about Remote Sensing
  • Reminder on classifications
  • Understanding a supervised classification
  • Define land cover classes
  • Create macro classes
  • Sample management or Region of Interest
  • Start supervised classification analysis
  • Understanding Spectral Indices (NDVI)
• The Raster Calculator
  • Get started with the Raster calculator
  • Using the Raster Calculator algorithm
  • Conduct a Raster analysis
  • Reclassify the values of a raster
  • Weight values
  • DTM-based data analysis
  • Designing shade relief map
  • Designing slope map
  • Cut a raster
• Network Analysis and OpenStreetMap:
  • Downloading and working with OpenStreetMap data; Osmnx
  • Network analysis in Python; Networkx; Osmnx;
• Overview on PyQGIS
  • Brief Introduction
  • Setup and Configuration
  • Relevant Libraries
  • Introduction to PyQGIS
  • Loading Projects
  • Loading Layers
• Spatial analysis using QGIS and PyQGIS libraries & plugins
  • Python, GeoPandas, Matpolib
  • Geocoding Point in polygons with GeoPandas
  • Spatial join
  • Data Classification; pysal map classifier
• General GIS operations with PyQGIS
  • Using Raster Layers
  • Using Vector Layers
  • Geometry Handling
• Additional PyQGIS topics
  • Projections Support
  • Using Map Canvas
  • Map Rendering and Printing
  • Expressions, Filtering and Calculating Values
  • Reading And Storing Settings
• Additional Overview on below topics
  • Data Visualization
  • Processing toolbox & graphical modeler
  • GIS based master plans and modelling
• Map Layout - GIS Data Representation
  • Graphic semiology
  • Symbology and labels
  • Thematic analysis
  • Map printing and export / Atlas
• Case Study Exercises
• Ending Discussions
  • Best Practices
  • Summary and Conclusion
  • Wrap up and Outlook