PCRaster 4.4.3

What's new

This is a maintenance release for 4.4.

• We modernised some code to allow for compilation with the latest compiler, GDAL (thanks to Jürgen Fischer's contribution) and Boost versions.

Installation

Straightforward with conda, see our tutorial.

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.

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 3.10 - 3.14)

• 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-4.4.3.tar.bz2

SHA256: 0c283d25b76c5dc4ca926261629d9cfd70dd9cbca8e0beadae022e1caa0d2bdd

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.