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.
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 Format
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
References
Software
The free and open source software (FOSS) used in this course are:
GDAL QGIS is a desktop GIS similar to the commercial ArcGIS software. GDAL is the Geodata Abstraction Layer, a set of open source tools that can be used to convert between GIS formats and to reproject data in a standardized way. GDAL commands can also be used in scripts. During the course basic scripting skills will be acquired: shell scripts and the Python programming language.
Books The following books are suggested to support the course:
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.