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Programming languages
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Sometimes specific models demand new calculation options that have to be implemented in existing packages. Or input-data needs sometimes to be reformatted; and we always make sure our workflow keeps automatically reproducible. To that end, we master different programming scientific languages like Fortran, C++, C#, etc. The use of scientific, object oriented, programming languages renders our home-made software with speed and flexibility. The main disadvantage of such languages is that they are not often user-friendly, what makes the pre and post-processing of data and outputs a difficult task.
Pre-processing of data is often carried by means of scripting languages like perl, Matlab, R, etc. Usually, the geographical data sets are linked to GIS packages like QGIS.
Another set of scripting languages, e.g., Matlab, Java, VisualBasic, etc., are used to generate Graphical User Interfaces (GUI) to facilitate the tasks of pre- and post-processing. This all-in-one tools are easy to use.