Environmental modelling software

PCRaster is a collection of tools and software libraries tailored to the construction of spatio-temporal environmental models. Application domains are amongst others hydrology (rainfall-runoff, global water balance, groundwater (with Modflow)), ecology, or land use change. Two scripting languages (Python and PCRcalc) include a rich set of spatial operations for manipulating and analysing raster maps. A Python framework supports Monte Carlo simulations and data assimilation (Ensemble Kalman Filter and Particle Filter). The Aguila tool allows for the interactive visualisation of stochastic spatio-temporal data.

You can find more information about our research and development projects on our website! Documentation can be found here, for questions regarding the usage of PCRaster please use our mailing list. A compiled package is available for Windows systems.

Note: we migrated multi-repository SourceForge-hosted sub-projects into this single GitHub-hosted project.

OS	Compilers	Status
Linux, macOS	gcc-5, gcc-8, clang-6
Windows	vs-2017	Checked manually