OSGeo elections start today with the nomination period for new Charter Members. The nomination period is open for the next two weeks. Please help our Foundation grow and nominate new Charter Members by 2015-08-30.
Elections page: http://wiki.osgeo.org/wiki/Election_2015
Please help spread the word and also reach out to communities who have
not yet been connected with OSGeo.
The 11th International gvSIG Conference, organized by the gvSIG Association, will be held from December 2nd to 4th 2015 at La Petxina Sports-Cultural Complex (Valencia - Spain), under the slogan "It's possible. It's real".
Call for papers is now open. As of today communication proposals can be sent to the email address: firstname.lastname@example.org; they will be evaluated by the scientific committee as to their inclusion in the conference program.
There are two types of communication: paper or poster. Information regarding to regulations on communication presentations can be found in the Communications section of the website. Abstracts will be accepted until September 25th.
Organizations interested in collaborating in the event can find information in the section: How to collaborate.
We are pleased to announce the second release candidate of the upcoming GRASS GIS 7.0.1 version
The GRASS Development Team released at their recent Community Sprint in Como, Italy the last release candidate of GRASS GIS 7.0.1RC2.
What's new in a nutshell
This upcoming stability release provides a series of stability fixes, manual improvements and a few language translations. This second release candidate provides 55 fixes and improvements with respect to RC1. It is expected that RC2 will be turned into the final release of GRASS GIS 7.0.1 after a short period of testing.
About GRASS GIS 7: Its new graphical user interface supports the user to make complex GIS operations as simple as possible. A new Python interface to the C library permits users to create new GRASS GIS-Python modules in a simple way while yet obtaining powerful and fast modules. Furthermore, the libraries were significantly improved for speed and efficiency, along with support for huge files. A lot of effort has been invested to standardize parameter and flag names. Finally, GRASS GIS 7 comes with a series of new modules to analyse raster and vector data, along with a full temporal framework. For a detailed overview, see the list of new features. As a stable release 7.0 will enjoy long-term support.
Source code download:
- To get the GRASS GIS 7.0.1 RC2 source code directly from SVN, see here.
- winGRASS 7.0.1RC2 standalone installer
- winGRASS 7.0.1RC2 in OSGeo4W installer
- Ubuntu installer
- ... further binary packages for other Linux distributions and Mac OSX will follow shortly.
See also our detailed announcement:
- http://trac.osgeo.org/grass/wiki/Grass7/NewFeatures (overview of new stable release series)
First time users may explore the first steps tutorial after installation.
About GRASS GIS
The Geographic Resources Analysis Support System (http://grass.osgeo.org/), commonly referred to as GRASS GIS, is an Open Source Geographic Information System providing powerful raster, vector and geospatial processing capabilities in a single integrated software suite. GRASS GIS includes tools for spatial modeling, visualization of raster and vector data, management and analysis of geospatial data, and the processing of satellite and aerial imagery. It also provides the capability to produce sophisticated presentation graphics and hardcopy maps. GRASS GIS has been translated into about twenty languages and supports a huge array of data formats. It can be used either as a stand-alone application or as backend for other software packages such as QGIS and R geostatistics. It is distributed freely under the terms of the GNU General Public License (GPL). GRASS GIS is a founding member of the Open Source Geospatial Foundation (OSGeo).
The GRASS Development Team, July 2015
The Open Source Geospatial Foundation would like to open nominations for the 2015 Sol Katz Award for Geospatial Free and Open Source Software.
The Sol Katz Award for Geospatial Free and Open Source Software (GFOSS) will be given to individuals who have demonstrated leadership in the GFOSS community. Recipients of the award will have contributed significantly through their activities to advance open source ideals in the geospatial realm.
Sol Katz was an early pioneer of GFOSS and left behind a large body of work in the form of applications, format specifications, and utilities while at the U.S. Bureau of Land Management. This early GFOSS archive provided both source code and applications freely available to the community. Sol was also a frequent contributor to many geospatial list servers, providing much guidance to the geospatial community at large.
Sol unfortunately passed away in 1999 from Non-Hodgkin's Lymphoma, but his legacy lives on in the open source world. Those interested in making a donation to the American Cancer Society, as per Sol's family's request, can do so at https://donate.cancer.org/index.
Nominations for the Sol Katz Award should be sent to SolKatzAward@osgeo.org with a description of the reasons for this nomination. Nominations will be accepted until 23:59 UTC on August 21st. A recipient will be decided from the nomination list by the OSGeo selection committee.
The winner of the Sol Katz Award for Geospatial Free and Open Source Software will be announced at the FOSS4G-Seoul event in September. The hope is that the award will both acknowledge the work of community members, and pay tribute to one of its founders, for years to come.
It should be noted that past awardees and selection committee members are not eligible.
2014: Gary Sherman
2013: Arnulf Christl
2012: Venkatesh Raghavan
2011: Martin Davis
2010: Helena Mitasova
2009: Daniel Morissette
2008: Paul Ramsey
2007: Steve Lime
2006: Markus Neteler
2005: Frank Warmerdam
Selection Committee 2015:
Jeff McKenna (chair)
The EarthServer initiative is establishing Agile Analytics on Petabyte data cubes as a commodity.
Pushing the boundaries of Big Earth Data services, the intercontinental Earthserver initiative enables researchers to browse, access, and analyze massive multi-dimensional data sets from a wide range of sources. Big Earth Data at your fingertips - this is the vision of EarthServer for unleashing the potential of Big Data through a disruptive paradigm shift in technology:
- from isolat-ed silos of data with disparate functionality towards a single, uniform information space;
- from a difficult, artificial differentiation between data and metadata access to unified retrieval;
- from zillions of files towards few whatever-size datacubes;
- from limited functionality to the freedom of asking anything, anytime, any server in a peer network of data centers worldwide.
In phase 1, EarthServer has established open ad-hoc analytics on massive Earth Science data, based on and extending the leading Array Database technology, rasdaman. According to EU Commission and inde pendent reviewers, rasdaman will "significantly transform the way that scientists in different areas of Earth Science will be able to access and use data in a way that hitherto was not possible" as demonstrated by portals with over 230 TB of spatio-temporal data. EarthServer "with no doubt has been shaping the Big Earth Data landscape through the standardization activities within OGC, ISO and beyond".
Now phase 2 of EarthServer has started, with an even more ambitious goal: data centers will provide at least 1 Petabyte of 3-D and 4-D datacubes. Technology advance will allow real-time scaling of such Petabyte cubes, and intercontinental fusion. This power of data handling will be wrapped into direct visual interaction based on multi-dimensional visualization techniques, in particular: NASA World Wind. Following the motto "a cube says more than a million images" EarthServer has set out to redefine the Big Data service landscape even more.
This way, critical support will be given to Copernicus and the Sentinel satellite data: a single 3D x/y/t datacube will be constructed for each satellite instrument so that millions of images form a single, simple data space, irrespective of its size resulting. Likewise, each climate dataset will form a single 4D datacube. Access to these cubes is through a clean-slate standards-based query language on n-D grids, OGC WCPS. This yields the agility that any query can be sent at any time, without admin intervention on server side. Multiple cubes can be combined based on parallel, distributed processing. Altogether, the WCPS language allows navigation, extraction, aggregation, and fusion of any-size space/time data cubes using simple, yet powerful query operators.
The consortium consists of Jacobs University (Germany, coordinator), rasdaman GmbH (Germany, SME), , Plymouth Marine Laboratory (UK), European Center for Medium-Range Weather Forecasts (UK), MEEO s.r.l. (Italy, SME), and CITE S.A. (Greece, SME). Additionally, two high-profile international organizations participate: NASA (US) and National Computational Infrastructure (Australia).
Read more: http://www.earthserver.eu
GeoMoose 2.8.0 has been released. It contains both fixes for bugs found in the 2.7.1 release and implements many new feature requests.
For more information on what changed see: http://www.geomoose.org/releases/2.8.0.html
As always, downloads are available at: http://www.geomoose.org/download.html
GeoMoose 2.8 Release Manager