PCRaster 4.3.2

This page refers to an outdated version of PCRaster, an up-to-date version is available.

What's new

This is a bug fix release for 4.3. We fixed:

  • Several small fixes to allow building with newer versions of 3rd party libraries (#339).

  • pcr.setclone, pcr.readmap: improved error message for non-PCRaster file arguments (#337).

  • The mldd package is again included by default (#235).


Straightforward with conda, see our tutorial.


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.

Package overview

The PCRaster package includes:

  • The PCRaster library offering about 250 optimized functions for the construction of spatio-temporal models

  • The pcraster module to build environmental models in the Python programming language (Python 3.7+)

  • 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-4.3.2.tar.bz2

SHA256: 3ac7d3186f4ba876a5a8e8d8bf10b109bdc7b5b33d84d26bab0948f29deac2a7


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.