Is a collection of software targeted at the development and deployment of spatio-temporal environmental models.
Executes models very fast.
Contains a scripting model development environment: it allows users to develop their own simulation models. Scripting languages supported include PCRcalc and Python
Is mainly applied in environmental modelling: geography, hydrology, ecology to name a few. But also other models can be constructed. Examples include rainfall-runoff models, vegetation competition models and slope stability models.
Includes a rich set of model building blocks and analytical functions for manipulating raster GIS maps.
Includes a framework for construction of stochastic spatio-temporal models and data assimilation.
Includes with a tool for interactive visualisation of spatio-temporal stochastic data.
Is free and open source software (GPLv3, as of PCRaster version 4).
Runs on Linux, macOS and Windows.
Can easily be installed with conda.
Comes with extensive documentation.
PCRaster is not developed to be a full-blown raster GIS. It lacks functionality for digitising, plotting and other typical GIS tasks. Although PCRaster can be used as a stand-alone package, we recommend to use it in combination with raster GIS. The GDAL libraries allow for converting raster maps between the various platforms.