I know from my colleagues that the content and level were as they should be, and there was great satisfaction with the course in general.

Claus Iversen, Viborg Kommune

Plans & Pricing

STANDARD COURSES

We offer courses for individual and groups, and we can customize these to fit your needs and schedule.

DATA FORMATS

RasterData

What is Raster Data?

Raster data represents spatial information in a grid of equally sized cells or pixels, where each pixel holds a value representing a specific geographic attribute (e.g., elevation, temperature).

  • Grid structure with rows and columns of pixels.
  • Each pixel has a value representing real-world data.
  • Used for continuous data (e.g., elevation, temperature).
  • Common formats: satellite imagery and terrain.
  • Operates at varying resolutions depending on pixel size.
  • VectorData

    What is Vector Data?

    Vector data represents geographic features using geometric shapes such as points, lines, and polygons. Each feature has associated attributes describing its properties.

  • Points: Represent discrete locations (e.g., landmarks, trees).
  • Lines: Represent linear features (e.g., roads, rivers).
  • Polygons: Represent areas (e.g., lakes, city boundaries).
  • Precise geometry: Useful for accurately modeling boundaries and spatial relationships.
  • Attributes: Each feature has associated attribute data (e.g., name, type, population).
  • ModelBuilder

    What is QGIS Model Builder?

    The Model Builder in QGIS is a graphical tool that allows users to automate workflows by combining multiple GIS tools into a single model. It is part of the Processing Toolbox and is designed to streamline complex geospatial analyses by linking various algorithms and processes.

    • Drag-and-drop interface: Users can add algorithms and tools into a model by simply dragging them from the Processing Toolbox.
    • Custom inputs and outputs: Models can accept user-defined inputs (e.g., layers, numerical values) and generate outputs like new layers or tables.
    • Reusability: Once created, models can be saved and reused for future analyses.
    • Batch processing: Allows running the same processes on multiple datasets automatically.
    • Submodels: Models can include other models, allowing for modular and complex workflows.

    Common Uses:
    • • Automating repetitive geospatial tasks.
    • • Performing multi-step analyses without manually executing each tool.
    • • Creating workflows for spatial analysis, data preparation, and reporting.