PCRaster 4.3.3

What's new

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

• We improved the internal precision of the maptotal operation resulting in more reliable results when using large datasets (#336).

• We fixed several memory leaks in the multicore module (#344).

• We fixed a segmentation fault at module exit when PCRaster and GDAL are used (#343).

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 3.7+)

• 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-4.3.3.tar.bz2

SHA256: 17904dbd0e5d9b6b0e27358779c6b05c219bcb41d9b7691a238e8db357f69ed5

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.