r.green.install - GRASS GIS manual

NAME
KEYWORDS
DESCRIPTION
NOTES
- Installation on Microsoft Windows
SEE ALSO
AUTHOR

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

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.

AUTHOR

Pietro Zambelli (Eurac Research, Bolzano, Italy)

SOURCE CODE

Available at: Computes the residual energy potential of different renewable energies like biomass or hydropower source code (history)

Accessed: Friday Apr 19 06:31:05 2024

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