To understand the relation between different PCRaster data formats and other (generic) GIS dataset formats available in GDAL, and to gain hands-on experience in systematically converting various types of GIS data to PCRaster format using GDAL.
Persons who which to convert GIS dataset from various sources to the PCRaster format, in a systematic way, for usage in dynamic spatial models.
In this course, you will use GDAL to pre-process data from different sources, and of various data types, to use in PCRaster Python. GDAL is a software library for creating and manipulating geospatial data.
PCRaster operations work on raster datasets which have the same grid size and have the same spatial extent. GIS-data from different sources need to be clipped to the same region and resampled to the same grid size for usage in PCRaster models. Furthermore, when combining maps with a different map projection, maps have to be projected to a common map projection. Besides GDAL and PCRaster Python, you will use QGIS to visualize results.
Dr. Derek Karssenberg, Utrecht University. Environmental modelling specialist.
Drs. Kor de Jong, Utrecht University. Developer of the PCRaster package.
Dr. Oliver Schmitz, Utrecht University. Developer of the PCRaster package.