Introduction
For many studies models are used or developed. During modelling courses not much attention is paid to the preprocessing of input data and parameters needed for the models. A lot of open source software is available for this purpose. Besides desktop tools with graphical user interfaces, scripting is very useful for processing large datasets and timeseries. With the skills learned in this course you will be able to more efficiently process your data and setup and improve your models.
For Whom
The course is designed for professionals (engineers and scientists) active in the water/environmental sector, especially those involved in planning and management of water systems as well as numerical modelling. Pre-requisites are a basic knowledge of computing and water related topics.
Learning Objectives
After this course you will be able to:
Understand the basic concepts of GIS Raster, vector, projections, geospatial analysis Use a GIS for:
- Thematic mapping
- Basic data processing and editing
- Basic geoprocessing and analysis
- DEM processing and catchment delineation
- Find open source software and open data
Course materials are prepared by Dr. Johannes van der Kwast, Senior Lecturer in Ecohydrological Modelling, Water Science and Engineering Department, IHE Delft Institute for water education.
Schedule
| Exercise | Software | Study load (hours) |
| Digitizing from a scanned map | QGIS | 4 |
| Importing tabular data into GIS and interpolation | QGIS | 4 |
| Importing data from a GPS and conversion to vector | QGIS | 4 |
| Spatial planning using map algebra | QGIS |
8 |
| Catchment delineation | QGIS |
8 |
| Using Open Access data | QGIS | 4 |
| Styling and map design | QGIS | 4 |
| Introduction to DOS and GDAL | GDAL | 8 |
| Python 3 Tutorial | Python | 8 |
| Field surveys | QGIS, Input, Mergin | 4 |
Acknowledgements
The course materials have been developed for IHE Delft MSc participants and for tailor made trainings for water companies in Uganda.
These trainings were financed by the Vitens Evides International (VEI) Fund.
Special thanks to Jan Hoogendoorn and Jonne Kleijer, GIS experts from VEI, who contributed to these exercises. 
The Adjumani dataset in exercise 7 has been developed by VEI and the National Water and Sewerage Corporation (NWSC) in Uganda. I thank them for permission to use it for educational purposes.
Some illustrations were taken from A Gentle Introduction to GIS and from the PCRaster documentation. I tried to reference the sources and respect the licenses of the used sources. Please contact me if I missed any.
