[GRASS-user] New paper: "GRASS GIS: a multi-purpose Open Source GIS"

Hi all,

we are proud to announce a new, general paper on GRASS GIS:

Neteler, M., Bowman, M.H., Landa, M. and Metz, M. (2012):
GRASS GIS: a multi-purpose Open Source GIS. Environmental Modelling & Software
DOI: 10.1016/j.envsoft.2011.11.014
Proof PDF: http://gis.cri.fmach.it/uploads/ENSO_2675_proof_GRASS_GIS.pdf
                 (the final PDF will be soon online)

Abstract:
The GIS software sector has developed rapidly over the last ten years.
Open Source GIS applications are
gaining relevant market shares in academia, business, and public
administration. In this paper, we
illustrate the history and features of a key Open Source GIS, the
Geographical Resources Analysis Support
System (GRASS). GRASS has been under development for more than 28
years, has strong ties into
academia, and its review mechanisms led to the integration of well
tested and documented algorithms
into a joint GIS suite which has been used regularly for environmental
modelling. The development is
community-based with developers distributed globally. Through the use
of an online source code
repository, mailing lists and a Wiki, users and developers communicate
in order to review existing code
and develop new methods. In this paper, we provide a functionality
overview of the more than 400
modules available in the latest stable GRASS software release. This
new release runs natively on common
operating systems (MS-Windows, GNU/Linux, Mac OSX), giving basic and
advanced functionality to
casual and expert users. In the second part, we review selected
publications with a focus on environ-
mental modelling to illustrate the wealth of use cases for this open
and free GIS.

Citations are of course welcome :slight_smile:

Cheers
Markus

On Tue, 13 Dec 2011, Markus Neteler wrote:

we are proud to announce a new, general paper on GRASS GIS:

   Congratulations to all of you. We need more such publications to teach
clients the benefits of GRASS.

Rich

--
Richard B. Shepard, Ph.D. | Integrity - Credibility - Innovation
Applied Ecosystem Services, Inc. | Helping Ensure Our Clients' Futures
<http://www.appl-ecosys.com> Voice: 503-667-4517 Fax: 503-667-8863

Markus Neteler wrote:

we are proud to announce a new, general paper on GRASS GIS:

Neteler, M., Bowman, M.H., Landa, M. and Metz, M. (2012):
GRASS GIS: a multi-purpose Open Source GIS.
Environmental Modelling & Software
DOI: 10.1016/j.envsoft.2011.11.014
Proof PDF: http://gis.cri.fmach.it/uploads/ENSO_2675_proof_GRASS_GIS.pdf
             
   (the final PDF will be soon online)

hint: for bibtex you need to quote the ampersand in the journal name as {\&}
or else LaTeX gets upset.

Abstract:
The GIS software sector has developed rapidly over the last ten years.
Open Source GIS applications are gaining relevant market shares in
academia, business, and public administration. In this paper, we
illustrate the history and features of a key Open Source GIS, the
Geographical Resources Analysis Support System (GRASS). GRASS has
been under development for more than 28 years, has strong ties into
academia, and its review mechanisms led to the integration of well
tested and documented algorithms into a joint GIS suite which has
been used regularly for environmental modelling. The development is
community-based with developers distributed globally.
Through the use of an online source code repository, mailing lists
and a Wiki, users and developers communicate in order to review
existing code and develop new methods. In this paper, we provide a
functionality overview of the more than 400 modules available in
the latest stable GRASS software release. This new release runs
natively on common operating systems (MS-Windows, GNU/Linux, Mac
OSX), giving basic and advanced functionality to casual and expert
users. In the second part, we review selected publications with a
focus on environmental modelling to illustrate the wealth of use
cases for this open and free GIS.

a great big thanks to Markus x2 and Martin for their patience and
persistence in this effort.

Hamish