Public | Automated Build

Last pushed: 8 days ago
Short Description
GRASS GIS 7 is a free and open source Geographic Information System (GIS) software suite
Full Description

GRASS GIS Development Subversion repository

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How to get write access here?

Write access is only granted to developers who agree to abide by
RFC2 - Legal aspects of code contributions
http://trac.osgeo.org/grass/wiki/RFC/2_LegalAspectsOfCodeContributions
and the code submission guidelines
http://trac.osgeo.org/grass/wiki/Submitting

This needs to be communicated to a GRASS developer. S/he will
then possibly propose you to the GRASS Project Steering committee
after a period of evaluation. For details, see
http://trac.osgeo.org/grass/wiki/RFC

Once write access is granted, you, the new developer need to
obtain an "osgeo_id" at http://www.osgeo.org/osgeo_userid
If you already have an "osgeo_id" but forgot it, search for it at
Search at http://www.osgeo.org/cgi-bin/ldap_web_search.py

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How to compile GRASS:
See INSTALL file.

Yes, you should really read INSTALL.

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How to generate the 'Programmer's Manual':

This needs doxygen (http://www.doxygen.org) and optionally
Graphviz dot (http://www.research.att.com/sw/tools/graphviz/).

To build the GRASS programmer's documentation, run
make htmldocs
or to generate documentation as single html file (recommended for simple reading)
make htmldocs-single
here. This takes quite some time. The result is in lib/html/index.html
which refers to further document repositories in
lib/vector/html/index.html
lib/db/html/index.html
lib/gis/html/index.html

The master file is: ./grasslib.dox where all sub-documents have to
be linked into.

To generate the documents in PDF format, run
make pdfdocs

An online version is available at:
http://grass.osgeo.org/programming7/

Docker

Build using the downloaded source code (in the directory with the
source code):

docker build -t grass .

A test run (assuming you have existing GRASS GIS location)

docker run --rm -v /your/local/grassdata/:/data -it grass \
    grass /data/nc_basic_spm/PERMANENT --exec g.region -p

Note that the first grass is a name of the image while the second
grass is the name of the executable.

To run the tests (again assuming local location):

docker run --rm -v /your/test/grassdata/:/data -w /code/grass \
    -it grass grass /data/nc_basic_spm/PERMANENT --exec \
        python -m grass.gunittest.main \
            --location nc_basic_spm --location-type nc
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neteler
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