Package license: GPL-3.0-only
Feedstock license: BSD-3-Clause
Summary: 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. PCRaster includes 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.
Current build status
Current release info
pcraster from the
conda-forge channel can be achieved by adding
conda-forge to your channels with:
conda config --add channels conda-forge conda config --set channel_priority strict
conda-forge channel has been enabled,
pcraster can be installed with
conda install pcraster
mamba install pcraster
It is possible to list all of the versions of
pcraster available on your platform with
conda search pcraster --channel conda-forge
mamba search pcraster --channel conda-forge
mamba repoquery may provide more information:
# Search all versions available on your platform: mamba repoquery search pcraster --channel conda-forge # List packages depending on `pcraster`: mamba repoquery whoneeds pcraster --channel conda-forge # List dependencies of `pcraster`: mamba repoquery depends pcraster --channel conda-forge
conda-forge is a community-led conda channel of installable packages. In order to provide high-quality builds, the process has been automated into the conda-forge GitHub organization. The conda-forge organization contains one repository for each of the installable packages. Such a repository is known as a feedstock.
A feedstock is made up of a conda recipe (the instructions on what and how to build the package) and the necessary configurations for automatic building using freely available continuous integration services. Thanks to the awesome service provided by Azure, GitHub, CircleCI, AppVeyor, Drone, and TravisCI it is possible to build and upload installable packages to the conda-forge Anaconda-Cloud channel for Linux, Windows and OSX respectively.
To manage the continuous integration and simplify feedstock maintenance
conda-smithy has been developed.
conda-forge.yml within this repository, it is possible to re-render all of
this feedstock's supporting files (e.g. the CI configuration files) with
conda smithy rerender.
For more information please check the conda-forge documentation.
feedstock - the conda recipe (raw material), supporting scripts and CI configuration.
conda-smithy - the tool which helps orchestrate the feedstock.
Its primary use is in the construction of the CI
and simplify the management of many feedstocks.
conda-forge - the place where the feedstock and smithy live and work to produce the finished article (built conda distributions)
If you would like to improve the pcraster recipe or build a new
package version, please fork this repository and submit a PR. Upon submission,
your changes will be run on the appropriate platforms to give the reviewer an
opportunity to confirm that the changes result in a successful build. Once
merged, the recipe will be re-built and uploaded automatically to the
conda-forge channel, whereupon the built conda packages will be available for
everybody to install and use from the
Note that all branches in the conda-forge/pcraster-feedstock are
immediately built and any created packages are uploaded, so PRs should be based
on branches in forks and branches in the main repository should only be used to
build distinct package versions.
In order to produce a uniquely identifiable distribution:
- If the version of a package is not being increased, please add or increase
- If the version of a package is being increased, please remember to return
build/numberback to 0.