Large datasets, such as airborne imagery and hydro-meteorological datasets collected worldwide, drive progress in many disciplines. With traditional spreadsheet analysis tools, however, the large amounts of data can hardly be analyzed, understood, or used. The courses supported with this website aid hydraulic engineers, geomorphologists, river ecologists, and any water resources related challenge with tools for efficient data analyses and presentation. The methods described rely on open-access tools to leverage international and interdisciplinary collaboration on all levels.
The Get started chapter represents a summary of provide systematic workflows to setup your computer for:
- coding with Python Anaconda
- code documentation with markdown
- version control with git
- geospatial analyses with desktop applications such as QGIS
- using auxiliary tools and open-source/access alternatives to proprietary software such as GNU Octave (similar to Matlab) or Libre Office (similar to MS Office)
The Python chapters provide:
- a general introduction to Python programming and object orientation (basics);
- an overview of geospatial data and analyses with Python.
The numerical modelling chapter provides complete workflows for getting started with two-dimensional (2D) hydrodynamic models:
- ETH Zurich’s BASEMENT software
- More in the future
The Troubleshooting chapter includes information about how to debug known issues (not that issues ever existed…).