wxguiintro.1grass - Man Page

The wxGUI (wxPython-based Graphical User Interface) is the primary user interface for GRASS GIS. Designed for efficiency and ease of use, the wxGUI provides an intuitive way to interact with spatial data and the powerful tools available in GRASS GIS. The GUI supports the visualisation of spatial data, the execution of geoprocessing tasks or the management of complex workflows and offers a comprehensive set of tools.

The wxGUI is designed to cater to both novice and advanced users with the following features:

• A clean and customizable layout for efficient workspace management.
• Integrated support for both raster and vector data operations.
• Drag-and-drop capabilities for quick layer addition and arrangement.
• Support for live previews of data and processing results.
• Direct access to GRASS GIS modules, complete with user-friendly dialog windows.
• Advanced debugging and scripting capabilities for developers and power users.

To launch the wxGUI, simply start GRASS GIS. Upon startup, the wxGUI will load, providing access to its various components. The wxGUI usage is explained in greater detail here. New GRASS GIS users can explore the integrated help system or visit the GRASS GIS documentation for tutorials and guides.

The wxGUI is composed of several modules and features:

• Map Display: Visualize raster, vector, and 3D data layers in an interactive map viewer.
• Layer Manager: Organize and control the visibility, styling, and properties of your data layers.
• Data Catalog: Explore and manage GRASS GIS mapsets and spatial data with ease.
• Geoprocessing Tools: Access a wide range of geospatial analysis and modeling tools through an easy-to-use interface.
• Command Console: Run GRASS GIS commands directly, with syntax highlighting and autocompletion support.
• 3D View: Analyze and visualize 3D landscapes using NVIZ.

The wxGUI components are explained in greater detail here.

• Introduction to raster data processing
• Introduction to 3D raster data (voxel) processing
• Introduction to image processing
• Introduction into temporal data processing
• Introduction to database management
• Projections and spatial transformations