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and Nutrition","monthly_downloads":0,"total_dependent_repos":0,"total_dependent_packages":0,"readme":"# MAgPIE - Modular open source framework for modeling global land-systems\n\n[![DOI](https://zenodo.org/badge/135430060.svg)](https://zenodo.org/badge/latestdoi/135430060)\n[![R build status](https://github.com/magpiemodel/magpie/workflows/check/badge.svg)](https://github.com/magpiemodel/magpie/actions)\n\n## WHAT IS MAGPIE?\nThe *Model of Agricultural Production and its Impact on the Environment* (MAgPIE)\nis a modular open-source framework for modeling global land-systems, which\nexplicitly accounts for both agriculture and forestry. It is coupled to the\ngrid-based dynamic vegetation model LPJmL, with a spatial resolution of 0.5°x0.5°.\nMAgPIE takes regional economic conditions such as demand for agricultural commodities\nand timber products, technological development, and production costs into account,\nas well as spatially explicit data on potential crop yields, forest growth,\nand land and water constraints (from LPJmL). Based on these, the model derives\nspecific land use patterns, crop yields, timber yields, and total costs of\nagricultural and forestry production for each grid cell. The objective function of\nthe land use model is to minimize total cost of production for a given amount of\nregional food, bioenergy, and timber demand. Regional food energy demand is defined\nfor an exogenously given population in 10 food energy categories, based on regional\ndiets. Future trends in food demand are derived from a cross-country regression analysis,\nbased on future scenarios on GDP and population growth.\n\nhttps://www.pik-potsdam.de/research/projects/activities/land-use-modelling/magpie\n\n## DOCUMENTATION\nA framework description paper has been published in\nGeoscientific Model Development (GMD): https://doi.org/10.5194/gmd-12-1299-2019\n\nThe model documentation for version 4.13.0 can be found at\nhttps://rse.pik-potsdam.de/doc/magpie/4.13.0/\n\nA most recent version of the documentation can also be extracted from the\nmodel source code via the R package goxygen\n(https://github.com/pik-piam/goxygen). To extract the documentation, install the\npackage and run the main function (goxygen) in the main folder of the model.\nThe resulting documentation can be found in the folder \"doc\".\n\nPlease find a set of tutorials here https://magpiemodel.github.io/tutorials.\nThis guide will give you a brief technical introduction in how to install, run and use the model\nand how to analyse the model output.\n\nPlease pay attention to the MAgPIE Coding Etiquette when you modify the code.\nThe Coding Etiquette you find at the beginning of the documentation mentioned above.\nThe Coding Etiquette explains also the naming conventions and other\nstructural characteristics.\n\n## COPYRIGHT\nCopyright 2008-2025 Potsdam Institute for Climate Impact Research (PIK)\n\n## LICENSE\nThis program is free software: you can redistribute it and/or modify\nit under the terms of the **GNU Affero General Public License** as published by\nthe Free Software Foundation, **version 3** of the License or later. You should\nhave received a copy of the GNU Affero General Public License along with this\nprogram. See the LICENSE file in the root directory. If not, see\nhttps://www.gnu.org/licenses/agpl.txt\n\nUnder Section 7 of AGPL-3.0, you are granted additional permissions described\nin the MAgPIE License Exception, version 1.0 (see LICENSE file).\n\n## NOTES\nFollowing the principles of good scientific practice it is recommended\nto make the source code available in the events of model based publications\nor model-based consulting.\n\nWhen using a modified version of **MAgPIE** which is not identical to versions\nin the official main repository at https://github.com/magpiemodel add a suffix\nto the name to allow distinguishing versions (format **MAgPIE-suffix**).\n\n## HARDWARE REQUIREMENTS\nThe model is quite resource heavy and works best on machines with high CPU clock\nand memory. Recommended is a machine with at least 16GB of memory and a Core i7 CPU or similar.\n\n## HOW TO INSTALL\nCommands formatted as `code` should generally be run in a terminal (PowerShell on Windows).\n\n### List of Requirements\n- license for gams incl. CONOPT solver\n- gams \u003e= 50.1.0\n- git \u003e= 2.23\n- R \u003e= 4.3 (+ matching Rtools on Windows)\n- pandoc \u003e= 2.14.2\n- TeX \u003e= 3.14159265\n\n### OS specific setup\nChoose your operating system and follow the instructions there. You can also\ninstall requirements differently (e.g. using only installers on Windows), in\nthe end it is only important that all requirements are installed in a suitable\nversion and added to the PATH environment variable, so MAgPIE can use them.\n\n#### Ubuntu\n1. make sure you have a gams license incl. the CONOPT solver\n1. [install gams](https://www.gams.com/46/docs/UG_UNIX_INSTALL.html)\n1. install git, R, and pandoc with `sudo apt install git r-base pandoc`\n1. install TinyTeX with `Rscript -e 'install.packages(\"tinytex\"); tinytex::install_tinytex()'`\n\nIn case R package installations fail during compilation, install the following system packages:\n```\nsudo apt install build-essential cmake gdal-bin libcurl4-gnutls-dev libcurl4-openssl-dev libfontconfig1 libfreetype-dev libfribidi-dev libgdal-dev libgit2-dev libglpk-dev libharfbuzz-dev libjpeg-dev libnetcdf-dev libpng-dev libpoppler-cpp-dev libssl-dev libtiff5-dev libudunits2-dev libxml2-dev pari-gp qpdf\n```\nThis list is highly system specific and most likely incomplete. Pay close attention to error messages, usually they state which system package needs to be installed.\n\n#### macOS\nWe recommend to NOT have an active conda environment (if you're unsure what this means you likely don't have conda) when working with magpie (`conda deactivate`). We recommend installing system packages via [brew](https://brew.sh/).\nInstall R from https://cran.r-project.org/bin/macosx/\nChoose the right version: arm for Apple Silicon (M1, M2, …), x86_64 for older Intel-based Macs.\nInstall gfortran from https://cran.r-project.org/bin/macosx/tools/\n1. make sure you have a gams license incl. the CONOPT solver\n1. [install gams](https://www.gams.com/46/docs/UG_MAC_INSTALL.html)\n1. install git and pandoc with `brew install git pandoc`\n1. install TinyTeX with `Rscript -e 'install.packages(\"tinytex\",repos=\"https://cloud.r-project.org\"); tinytex::install_tinytex()'`\n\nUsually macOS users can download precompiled binary R packages, but in case R package installations fail during compilation, install the following system packages:\n```\nbrew install abseil cmake fribidi gdal harfbuzz libgit2 libpng libtiff libxml2 pkg-config\n```\nThis list is highly system specific and most likely incomplete. Pay close attention to error messages, usually they state which system package needs to be installed.\n\n#### Windows\nMost of the installation steps require administrator rights.\n1. make sure you have a gams license incl. the CONOPT solver\n1. [install gams](https://www.gams.com/46/docs/UG_WIN_INSTALL.html)\n1. [download .msi pandoc file](https://github.com/jgm/pandoc/releases/latest) and run installer (`choco install pandoc` did not work in testing)\n1. [install chocolatey](https://chocolatey.org/install)\n1. install git, rig (R installer), and tinytex with `choco install -y git rig tinytex`\n1. restart terminal\n1. install R and Rtools with `rig add release; rig add rtools`\n\n### check setup is complete\n- restart terminal (now without administrator privileges)\n- `gams` should print many lines including \"The installed license is valid.\"\n- `git --version`\n- `Rscript --version`\n- `pandoc --version`\n- `tex --version`\n\nIf any of these are not found: Find the path to that executable\n(gams/git/Rscript/pandoc/tex, on Windows ending in '.exe') and add it to your account's\nPATH environment variable. Search for a tutorial online if you are unsure how to do that,\nor take a look at the detailed Windows instructions and troubleshooting below.\n\n### download and run MAgPIE\n1. download MAgPIE with `git clone https://github.com/magpiemodel/magpie.git`\n1. go into the MAgPIE folder `cd magpie`\n1. start a MAgPIE run with `Rscript start.R`, first time: installs all required R packages (takes a while)\n1. choose \"1\" for a default run\n1. then select \"1\" for direct execution\n\n### troubleshooting\nPlease check [this discussion](https://github.com/magpiemodel/magpie/discussions/650) for known problems and solutions and to report new problems you encounter while setting up MAgPIE.\n\n## HOW TO CONFIGURE\nModel run settings are set in `config/default.cfg` (or another config file of\nthe same structure). New model scenarios can be created by adding a column to\n`config/scenario_config.csv`\n\n## HOW TO RUN\nTo run the model execute `Rscript start.R` (or `source(\"start.R\")` from within\nR) in the main folder of the model.\nThis will give you a list of available run scripts you can choose from. You can\nalso add your own run scripts by saving them in the folder scripts/start. To run\na single model run with settings as stated in default.cfg you can choose start\nscript \"default\". Make sure that the config file has been set correctly before\nstarting the model.\n\n## HOW TO CONTRIBUTE\nWe are interested in working with you! Just contact us through GitHub\n(https://github.com/magpiemodel) or by mail (magpie@pik-potsdam.de) if you have\nfound and/or fixed a bug, developed a new model feature, have ideas for further\nmodel development, suggestions for improvements or anything else. We are open to\nany kind of contribution. Our aim is to develop an open, transparent and\nmeaningful model of the agricultural land use sector to get a better\nunderstanding of the underlying processes and possible futures. Join us doing\nso!\n\n## DEPENDENCIES\nModel dependencies **must be publicly available** and should be Open Source.\nDevelopment aim is to rather minimize than expand dependencies on non-free\nand/or non open source software. That means that besides currently existing\ndependencies on GAMS, the GDXRRW R package and the corresponding solvers there\nshould be no additional dependencies of this kind and that these existing\ndependencies should be resolved in the future if possible.\n\nIf a new R package is added as dependency this package should fulfill the\nfollowing requirements:\n* The package is published under an Open Source license\n* The package is distributed through CRAN or PIK-CRAN (the PIK-based,\n  but publicly available package repository).\n* The package source code is available through a public, version controlled\n  repository such as GitHub\n\nFor other dependencies comparable measures should apply. When a dependency is\nadded this dependency should be added to the *HOW TO INSTALL* section in the\nREADME file of the model framework (mentioning the dependency and explaining\nhow it can be installed). If not all requirements can be fulfilled by the new\ndependency this case should be discussed with the model maintainer\n(magpie@pik-potsdam.de) to find a good solution for it.\n\n## INPUT DATA\n\nIn order to allow other researchers to reproduce and use work done with MAgPIE\none needs to make sure that all components necessary to perform a run can be\nshared. One of these components is the input data. As proprietary data usually\ndoes not allow its free distribution it should generally be avoided.\n\nWhen adding a new data source, make sure that it can be freely shared with\nothers. If this is not the case please consider using a different source or\nsolution.\n\nData preparation should ideally be performed with the **madrat** data processing\nframework (https://github.com/pik-piam/madrat). This makes sure that the\nprocessing is reproducible and links properly to the already existing data\nprocessing for MAgPIE.\n\nIn case that these recommendations can not be followed we would be happy if you\ncould discuss that issue with the MAgPIE development team\n(magpie@pik-potsdam.de).\n\n## MODEL OUTPUT\n\nBy default the results of a model run are written to an individual results folder within the \"output/\" folder of the model. The two most important output files are the fulldata.gdx and the report.mif. The fulldata.gdx is the technical output of the GAMS optimization and contains all quantities that were used during the optimization in unchanged form. The mif-file is a csv file of a specific format and is synthetized from the fulldata.gdx by post-processing scripts. It can be read in any text editor or spreadsheet program and is well suited for a quick look at the results and for further analysis.\n\n## CONTACT\nmagpie@pik-potsdam.de\n\n## KNOWN BUGS\n\n## TROUBLESHOOTING\nPlease contact magpie@pik-potsdam.de if you're having troubles installing or running a MAgPIE release version.\n\n### Common issues with installing MAgPIE under Windows\n- To modify the `Path` environment variable, you can use the Windows search by pressing the Windows key, start typing \"environment\" and select the option \"Edit environment variables for your account\". Edit the `Path` variable by adding the paths to executables which aren't yet found when testing them in the terminal (via the `New` button). You can also display the currently used path variable in the terminal via `echo %PATH%` (regular terminal) and `$env:PATH`(PowerShell) to check what is already included.\n- Check if `rtools` was installed successfully: Open an `R` session from a terminal, and run `install.packages(\"pkgbuild\")` followed by `pkgbuild::has_rtools()`. This should report `TRUE`.\n- Neither downloading nor running MAgPIE requires administrator privileges, and you'll likely run into issues when trying to run MAgPIE in a folder where `git clone` has been run from an administrator terminal. If you did this by accident, delete the MAgPIE folder and redo the `git clone` from a terminal without administrator privileges.\n- Before running `git clone` in the terminal, make sure that you're in a folder where you have write access and not in a Windows system path. If you're using Windows 11, you can access the terminal by right-clicking and starting a terminal from Windows explorer after navigating to the location where you want to download MAgPIE into.\n- If you're using PowerShell, starting an interactive R session with `R` doesn't work, and you need to type `R.exe` (or `R.bat` if `R.exe` isn't found) instead. The reason behind this is that `r` is a reserved shortcut for repeating the previous command, which is why you'll be getting a cryptic `Invoke-History: Cannot locate most recent history.` error message when trying to start R in a fresh PowerShell session.\n\n## CITATION\nSee file CITATION.cff or the [How-to-Cite section](https://rse.pik-potsdam.de/doc/magpie/4.13.0/#how-to-cite) in the model documentation for information how to cite the model.\n\n## AUTHORS\nSee list of authors in CITATION.cff\n\n## CHANGELOG\nSee log on GitHub (https://github.com/magpiemodel)\n","funding_links":[],"readme_doi_urls":["https://doi.org/10.5194/gmd-12-1299-2019"],"works":{"https://doi.org/10.5194/gmd-12-1299-2019":{"id":"https://openalex.org/W2904815223","doi":"https://doi.org/10.5194/gmd-12-1299-2019","title":"MAgPIE 4 – a modular open-source framework for modeling global land systems","display_name":"MAgPIE 4 – a modular open-source framework for modeling global land 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