Note: This document is for an older version of GRASS GIS that has been discontinued. You should upgrade, and read the current manual page.
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.
raster,
biomass topic
The module installs the missing Python libraries for different operating systems and
provide a general menu in the GRASS GUI.
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.
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
https://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:
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:
Close GRASS and restart the programm to have in the the menu the session energy with all the
r.green modules.
r.green - overview page
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: Sunday Nov 24 05:59:03 2024
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GRASS Development Team,
GRASS GIS 8.3.3dev Reference Manual