GRASS GIS Extensions

pd-GRASS: Parallel Display for GRASS GIS

pd-GRASS is a set of shell scripts that allow to distribute display functions of GRASS GIS through the network among several physical monitors in a synchronized manner.

pd-GRASS was developed for the use on visualization clusters and display walls (like this). Typically such system consists of several rendering nodes and a head node. Each rendering nodes is connected to one or more physical display devices and all nodes are controlled from the head node (more info). All functionality of pd-GRASS is available for test runs on a local computer (screenshot).

Releases and Downloads

Version Date Changes Download
1.1.0 2006-08-02 1. Simple interaction with d.m added (see pd.replay)
2. Now it is possible to set remote shell command
3. Versions of the software in gengrass.sh were updated
pd-GRASS-1.1.0.tgz
1.0.0 2005-07-27 The first version, everything is new pd-GRASS-1.0.0.tgz

Disclaimer

This prototype software is experimental in nature. UT-Battelle, LLC AND THE UNITED STATES GOVERNMENT MAKE NO REPRESENTATIONS AND DISCLAIM ALL WARRANTIES, BOTH EXPRESSED AND IMPLIED. THERE ARE NO EXPRESS OR IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE, OR THAT THE USE OF THE SOFTWARE WILL NOT INFRINGE ANY PATENT, COPYRIGHT, TRADEMARK, OR OTHER PROPRIETARY RIGHTS, OR THAT THE SOFTWARE WILL ACCOMPLISH THE INTENDED RESULTS OR THAT THE SOFTWARE OR ITS USE WILL NOT RESULT IN INJURY OR DAMAGE. The user assumes responsibility for all liabilities, penalties, fines, claims, causes of action, and costs and expenses, caused by, resulting from or arising out of, in whole or in part the use, storage or disposal of the SOFTWARE.
Alex Sorokine

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Highlights

Lab's Smart Grid Visualization Research Featured in IEEE Newsletter [June, 2012]
An article titled "Virtualization of the Evolving Power Grid" and authored by Olufemi Omitaomu, Alex Sorokine and Varun Chandola in the Computational Sciences and Engineering Division has been published in the IEEE Smart Grid Newsletter.

New ORNL Tool Developed to Assess Global Freshwater Stress [March 23, 2012]
New method to make better use of vast amounts of data related to global geography, population and climate may help determine the relative importance of population increases vs. climate change.

Off the Map [March 2012]
After the March 11, 2011, earthquake and tsunami devastated the coast along Sendai, Japan, a special team at the software company Esri quickly jumped into action.

New ORNL Technology to help KUB Customers Understand Their Bill
January 27, 2012, WATE.COM – If you think there's a problem with your utility charges or how your meter's being read, all you may be able to do is call your utility company.

Grid Visualization Efforts Helped Heal After Hurricane
September 26, 2011 – By many counts, Irene was the worst hurricane the U.S. East Coast has had to contend with since 2003. For those inland areas hit hardest by flooding, restoration will likely continue for years.

Joplin, Missouri Tornado: Do People Fail to Respond to Tornado Warnings?
Jenniffer Santos-Hernandez at Oak Ridge National Laboratory helped conduct a phone survey of more than 600 people in Oklahoma, Kansas, Minnesota, Illinois, Mississippi, Tennessee, and Alabama.