This page refers to an outdated version of PCRaster, an up-to-date version is available.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:
- We fixed a memory leak in
pcr2numpy
For a brief 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, 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
Download for Windows
PCRaster package for 64-bit (Python 3 only): pcraster-4.2.1.zip
Installing 64-bit PCRaster on Windows
Python 2 is no longer supported on Windows.
Source code package
PCRaster source code package: pcraster-4.2.1.tar.bz2
SHA256: 4dce73a300fa2ca9516e8c94f91d38f9f81ca0f7ec872dab1417706ed23a33ed
Building PCRaster on Linux
Documentation
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.
Contribute!
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.
Questions?
Please post questions regarding installation, applications or operations of the PCRaster package on our mailing list.