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GRASS GIS manual: r.green.install
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NAME

r.green.install - Toolset to check that all the necessary Python libraries like scipy and numexpr are present in the python path. The module also check post-installation troubles that sometimes may occur.

KEYWORDS

raster, biomass topic

DESCRIPTION

The module installs the missing Python libraries for different operating systems and provide a general menu in the GRASS GUI.

NOTES

r.green.install checks that all the necessary Python libraries like scipy and numexpr are present in the python path. The module also check post-installation troubles that sometimes may occur.

Installation on Microsoft Windows

You should install GRASS GIS with administrator rights; either the stand-alone installer or via OSGeo4W package, in a directory with full control of permissions, to be able to intall the r.green modules.
Microsoft Windows Permissions
Microsoft Windows Permissions


The r.green modules are based on Python libraries. The module r.green.install -i is able to download and install them. However, some troubles can raise due to new links or versions. In this case, you can manually download the following libraries in your GRASS installation directory from http://www.lfd.uci.edu/~gohlke/pythonlibs/ according with your GRASS download (32bit or 64bit):
32bit 64bit
numpy-1.11.0b3+mkl-cp27-cp27m-win32.whl numpy-1.11.0b3+mkl-cp27-cp27m-win_amd64.whl
scipy-0.17.0-cp27-none-win32.whl scipy-0.17.0-cp27-none-win_amd64.whl
numexpr-2.5-cp27-cp27m-win32.whl numexpr-2.5-cp27-cp27m-win_amd64.whl
After the downloading, in the grass Command Console use the following code to install libraries and the r.green menu:
r.green.install -i

Check the list of suggested libraries with the previous table. If they agree, you can proceed with the installation. If you install the Energy menu, use the following command:
r.green.install -x

Close GRASS and restart the programm to have in the the menu the session energy with all the r.green modules.

SEE ALSO

r.green - overview page

AUTHOR

Pietro Zambelli (Eurac Research, Bolzano, Italy)

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