https://github.com/pcraster/pcraster

Environmental modeling software
https://github.com/pcraster/pcraster

cpp earth-science hydrology modflow python simulation spatio-temporal-modeling

Last synced: 3 months ago
JSON representation

Environmental modeling software

• Host: GitHub
• URL: https://github.com/pcraster/pcraster
• Owner: pcraster
• License: gpl-3.0
• Created: 2015-06-30T14:09:52.000Z (over 9 years ago)
• Default Branch: master
• Last Pushed: 2024-03-22T19:28:39.000Z (8 months ago)
• Last Synced: 2024-04-14T05:29:26.269Z (7 months ago)
• Topics: cpp, earth-science, hydrology, modflow, python, simulation, spatio-temporal-modeling
• Language: C++
• Homepage: http://www.pcraster.eu
• Size: 39.2 MB
• Stars: 86
• Watchers: 11
• Forks: 23
• Open Issues: 89
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: COPYING

Awesome Lists containing this project

• jimsghstars - pcraster/pcraster - Environmental modeling software (C++)
• open-sustainable-technology - PCRaster - A collection of tools and software libraries tailored to the construction of spatio-temporal environmental models. (Natural Resources / Water Supply and Quality)

README

        
# PCRaster

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.](http://computationalgeography.org/) Information on PCRaster is given at the [project website](http://www.pcraster.eu/), and online documentation can be found [here](https://pcraster.geo.uu.nl/pcraster/latest/documentation/index.html). For questions regarding the usage of PCRaster please use our [mailing list](https://lists.geo.uu.nl/mailman/listinfo/pcraster-info), bugs can be reported via our [issue tracker](https://github.com/pcraster/pcraster/issues).

## Installation

[![Conda Version](https://img.shields.io/conda/vn/conda-forge/pcraster.svg)](https://anaconda.org/conda-forge/pcraster)

[![Conda Platforms](https://img.shields.io/conda/pn/conda-forge/pcraster.svg)](https://anaconda.org/conda-forge/pcraster)

[![Conda Downloads](https://img.shields.io/conda/dn/conda-forge/pcraster.svg)](https://anaconda.org/conda-forge/pcraster)

Packages are available for Linux, macOS and Windows via [conda-forge](https://github.com/conda-forge/pcraster-feedstock).

Install PCRaster e.g. with:

```bash

conda install -c conda-forge pcraster

```

More information on the installation of PCRaster is given in the [documentation](https://pcraster.geo.uu.nl/pcraster/latest/documentation/pcraster_project/install.html).

## Build status

CI builds of our current development version:

[![Linux build status](https://github.com/pcraster/pcraster/actions/workflows/linux.yaml/badge.svg)](https://github.com/pcraster/pcraster/actions/workflows/linux.yaml)

[![macOS build status](https://github.com/pcraster/pcraster/actions/workflows/macos.yaml/badge.svg)](https://github.com/pcraster/pcraster/actions/workflows/macos.yaml)

[![Linux Conda status](https://github.com/pcraster/pcraster/actions/workflows/linux-conda.yaml/badge.svg)](https://github.com/pcraster/pcraster/actions/workflows/linux-conda.yaml)

[![Windows build status](https://github.com/pcraster/pcraster/actions/workflows/windows.yaml/badge.svg)](https://github.com/pcraster/pcraster/actions/workflows/windows.yaml)