This page refers to an outdated version of PCRaster, an up-to-date version is available.
This is a bug fix release for 4.3. We fixed:
Aguila: incorrect x-axis display for timeseries and less than three timesteps (#303)
Aguila: unhandled exception thrown instead of error messages on macOS (#302)
pcr.aguila: incorrect handling of function arguments (#325)
An initialisation error when paths in the environment variable PATH do not exist (#134)
Error checking for numpy2pcr (#317)
Redundant error output in PCRaster Modflow (#321)
Ignoring small well pumping rates (close to 0) in PCRaster Modflow (#324)
Straightforward with conda, see our tutorial.
The PCRaster package includes:
The PCRaster library offering about 250 optimized functions for the construction of spatio-temporal models
pcrastermodule to build environmental models in the Python programming language (Python 3.6+)
Local and focal operations supporting multicore CPUs
A Python modelling framework allowing for dynamic modelling, stochastic modelling and data assimilation
The Aguila program for visualization of uncertain spatio-temporal data
The PCRaster Modflow extension for groundwater modelling
The PCRcalc environmental modelling language
Several programs for data conversion
Source code package
PCRaster source code package: pcraster-4.3.1.tar.bz2
Information about the PCRaster Python module including the function reference, the spatio-temporal modelling framework, command line applications and and an introduction to PCRaster can be found in our online documentation.
PCRaster is an open-source project, and there are a few options how you can contribute! If you are familiar with coding, help us eliminating known bugs. Whether you are experienced with packaging software for Linux distributions, or you just want to provide fixes to the documentation: we are looking forward to your pull requests on our GitHub page.
Please post questions regarding installation, applications or operations of the PCRaster package on our mailing list.