This page refers to an outdated version of PCRaster, an up-to-date version is available.
What’s new
These are the most important changes:
- On Windows, shared libraries are now installed in a separate directory, which does not need to be in the PATH environment variable. This will lower the chance of conflicts with shared libraries shipped with other software.
- Dropped support for 32 bit Windows.
- In Python scripts PCRaster data types can now be serialized by the pickle module.
For a detailed list of the changes check the changes page.
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 2.7) - 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
Download
Operating system | Architecture | Package | Instructions |
---|---|---|---|
Linux | 64-bit | pcraster-4.1.0_x86-64.tar.gz | Installing PCRaster on Linux |
Windows | 64-bit | pcraster-4.1.0_x86-64.zip | Installing 64-bit PCRaster on Windows |
Documentation
PCRaster Introduction, applications and function reference |
html |
Aguila Visualization tool |
html |
PCRasterPython Python extension for PCRaster |
html |
PCRasterPythonFramework Framework for spatio-temporal modelling |
html |
arrayed variables | html |
PCRasterModflow Modflow2000 extension for PCRaster |
html |
PCRaster ModelEngine Embedding the PCRaster ModelEngine in your own application is possible by using the LinkOut API (user manual, reference guide). |
Questions?
Please post questions regarding installation, applications or operations of the PCRaster package on our mailing list.