Applied spatial solutions based on open source

Applied spatial solutions based on open source

Programming


Together with our partners we extend our support with different programming services for and around the software GRASS and Quantum GIS.

GRASS GIS - Programming of new GRASS modules in C and C++, Shell, Python and Java ¹
- Design / Rapid prototyping of new GRASS modules with Python ¹
- Implementation of finite difference and finite volume algorithms in GRASS GIS (C).
- Implementation of VTK algorithms in GRASS GIS (C + +, Python and Java). ²
- Modification, expansion of existing GRASS GIS module (Shell, Python, and C).
- Bugfixing of GRASS GIS modules and libraries.
- Integration and bug fixing of GRASS GIS addon modules in current versions of GRASS GIS.

Quantum GIS - Programming of new QGIS modules in C++ and Python
- Modification, expansion of existing Quantum GIS functionalities
- Bugfixing of Quantum GIS modules and libraries.

VTK - Implementation of new algorithms in VTK (in C++, Python und Java). ²
- Modification of existing algorithms in VTK (in C + +, Python and Java). ²
- Bugfixing of VTK classes.

WPS

- Integration / Programming of GRASS GIS modules into existing WPS server.
- Adaptation of GRASS GIS for the optimal use in WPS servers.

 

 

 

 

 

 

 

 

 

 

 

 

 

¹) For modules in C + +, Python and Java we use the vtkGRASSBridge, which is actively developed by Sören Gebbert.
²) The programming can be implemented as a closed and / or open source solution