Difference between revisions of "Google Summer of Code 2017 Ideas"

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* [http://hub.qgis.org/wiki/quantum-gis/Google_Summer_of_Code_2016 '''QGIS''' SoC Ideas]: [http://www.qgis.org QGIS] is a user friendly Open Source Geographic Information System (GIS) that runs on Linux, Unix, Mac OSX, and Windows. QGIS supports vector, raster, and database formats. It is written in C++ and Python.
 
* [http://hub.qgis.org/wiki/quantum-gis/Google_Summer_of_Code_2016 '''QGIS''' SoC Ideas]: [http://www.qgis.org QGIS] is a user friendly Open Source Geographic Information System (GIS) that runs on Linux, Unix, Mac OSX, and Windows. QGIS supports vector, raster, and database formats. It is written in C++ and Python.
 
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* [http://trac.osgeo.org/gdal/wiki/SummerOfCode '''GDAL''' Ideas]: [http://www.gdal.org GDAL] is a C++ library for reading and writing geospatial data raster and vector formats.
 
* [http://trac.osgeo.org/gdal/wiki/SummerOfCode '''GDAL''' Ideas]: [http://www.gdal.org GDAL] is a C++ library for reading and writing geospatial data raster and vector formats.
 
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* [http://trac.osgeo.org/osgeo4w/wiki/Reports '''OSGeo4W''']: -  OSGeo4W is a binary distribution of a broad set of open source geospatial software for Win32 environments (Windows 7, XP, etc).
 
* [http://trac.osgeo.org/osgeo4w/wiki/Reports '''OSGeo4W''']: -  OSGeo4W is a binary distribution of a broad set of open source geospatial software for Win32 environments (Windows 7, XP, etc).
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:* ''Idea'': We need to extend support to x64 based platforms to handle larger datasets and circumvent memory restrictions. This is a distribution and packaging project which will involve most/all of OSGeo member projects. (''ed. note: keep in mind that to fulfill GSoC requirements each project must have a majority coding component, so lots of scripting, testing, and Makefiles!'')
 
:* ''Idea'': We need to extend support to x64 based platforms to handle larger datasets and circumvent memory restrictions. This is a distribution and packaging project which will involve most/all of OSGeo member projects. (''ed. note: keep in mind that to fulfill GSoC requirements each project must have a majority coding component, so lots of scripting, testing, and Makefiles!'')
 
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* [[GvSIG_GSoC_2016_Ideas|'''gvSIG''' Ideas]]: gvSIG is a free GIS project for [http://www.gvsig.com/en/web/guest/products/gvsig-desktop Desktop]. The gvSIG project looks for students with Java or Python skills that want to develop new ideas on this software.  
 
* [[GvSIG_GSoC_2016_Ideas|'''gvSIG''' Ideas]]: gvSIG is a free GIS project for [http://www.gvsig.com/en/web/guest/products/gvsig-desktop Desktop]. The gvSIG project looks for students with Java or Python skills that want to develop new ideas on this software.  
 
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* [http://opticks.org/confluence/display/opticksDev/Google+Summer+of+Code '''Opticks''' Ideas]: [http://opticks.org/ Opticks] is an extensible [http://en.wikipedia.org/wiki/Remote_sensing remote sensing] and imagery analysis desktop application. It provides a framework to process remote sensing data such as [http://en.wikipedia.org/wiki/Hyperspectral_imaging Hyperspectral] (HSI), [http://en.wikipedia.org/wiki/Multi-spectral_image Multispectral] (MSI), and [http://en.wikipedia.org/wiki/Synthetic_aperture_radar Synthetic aperture radar] (SAR) imagery and video. The application is written in C++ and licensed under LGPL v2.1. Extensions are written using C++ or Python. You can review the [http://opticks.org/confluence/display/opticksExt/All+Opticks+Extensions available extensions] and [http://opticks.org/confluence/display/opticks/Feature+Tour+-+Your+Data feature tour] to get a better idea of what Opticks can do.
 
* [http://opticks.org/confluence/display/opticksDev/Google+Summer+of+Code '''Opticks''' Ideas]: [http://opticks.org/ Opticks] is an extensible [http://en.wikipedia.org/wiki/Remote_sensing remote sensing] and imagery analysis desktop application. It provides a framework to process remote sensing data such as [http://en.wikipedia.org/wiki/Hyperspectral_imaging Hyperspectral] (HSI), [http://en.wikipedia.org/wiki/Multi-spectral_image Multispectral] (MSI), and [http://en.wikipedia.org/wiki/Synthetic_aperture_radar Synthetic aperture radar] (SAR) imagery and video. The application is written in C++ and licensed under LGPL v2.1. Extensions are written using C++ or Python. You can review the [http://opticks.org/confluence/display/opticksExt/All+Opticks+Extensions available extensions] and [http://opticks.org/confluence/display/opticks/Feature+Tour+-+Your+Data feature tour] to get a better idea of what Opticks can do.
 
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* [http://trac.osgeo.org/postgis/wiki/GoogleSummerCode '''PostGIS''' Ideas]: [http://postgis.net PostGIS] spatially enables the popular PostgreSQL object-relational database, allowing it to be used as a back-end database for geographic information systems (GIS) and web-mapping applications.
 
* [http://trac.osgeo.org/postgis/wiki/GoogleSummerCode '''PostGIS''' Ideas]: [http://postgis.net PostGIS] spatially enables the popular PostgreSQL object-relational database, allowing it to be used as a back-end database for geographic information systems (GIS) and web-mapping applications.
 
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* [https://trac.osgeo.org/ossim/wiki/GSoC_2015 '''OSSIM''' SoC Ideas]: [http://trac.osgeo.org/ossim/wiki OSSIM] Open Source Software Image Map (OSSIM) is a high performance engine for remote sensing, image processing, geographical information systems and photogrammetry. The software has been under active development since 1996 and is deployed across a number of private, federal and civilian agencies. It is written in C++.
 
* [https://trac.osgeo.org/ossim/wiki/GSoC_2015 '''OSSIM''' SoC Ideas]: [http://trac.osgeo.org/ossim/wiki OSSIM] Open Source Software Image Map (OSSIM) is a high performance engine for remote sensing, image processing, geographical information systems and photogrammetry. The software has been under active development since 1996 and is deployed across a number of private, federal and civilian agencies. It is written in C++.
 
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* [http://wiki.orfeo-toolbox.org/index.php/Proposals_for_GSoC_2015 '''OTB''' SoC Ideas]: [http://www.orfeo-toolbox.org ORFEO ToolBox] (OTB) is an open source library for remote sensing image processing.Targeted algorithms for high resolution optical images (Pleiades, SPOT, QuickBird, WorldView, Landsat, Ikonos), hyperspectral sensors (Hyperion) or SAR (TerraSarX, ERS, Palsar) are available. The software has been under active development since 2006 and is written in C++ and it includes also side projects also open source with GUI like Monteverdi. OTB has recently started the incubation process into OSGeo.
 
* [http://wiki.orfeo-toolbox.org/index.php/Proposals_for_GSoC_2015 '''OTB''' SoC Ideas]: [http://www.orfeo-toolbox.org ORFEO ToolBox] (OTB) is an open source library for remote sensing image processing.Targeted algorithms for high resolution optical images (Pleiades, SPOT, QuickBird, WorldView, Landsat, Ikonos), hyperspectral sensors (Hyperion) or SAR (TerraSarX, ERS, Palsar) are available. The software has been under active development since 2006 and is written in C++ and it includes also side projects also open source with GUI like Monteverdi. OTB has recently started the incubation process into OSGeo.
 
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* [http://wiki.osgeo.org/wiki/MapServer_2015_SOC_Ideas '''Mapserver''' SoC Ideas]: MapServer is a Web Mapping Engine; an Open Source platform for publishing spatial data and interactive mapping applications to the web.
 
* [http://wiki.osgeo.org/wiki/MapServer_2015_SOC_Ideas '''Mapserver''' SoC Ideas]: MapServer is a Web Mapping Engine; an Open Source platform for publishing spatial data and interactive mapping applications to the web.
 
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* [https://sourceforge.net/p/istsos/wiki/GSoC_ideas_2016 '''istSOS''' Ideas]: [http://sourceforge.net/projects/istsos/ istSOS] is a complete sensor data management system for acquiring, storing and dispatching time-series observations. istSOS is compliant with the Sensor Observation Service (SOS) version 1.0 and 2.0 standard from the Open Geospatial Consortium (OGC) and offers unique extended capabilities to support scientific data analyses (integrated quality assurance, RESTful API, on the fly processing with virtual procedures, remote data aggregation and time-space re-projection etc.). istSOS core libraries are written in Python while it easy to use interface is Web based.
 
* [https://sourceforge.net/p/istsos/wiki/GSoC_ideas_2016 '''istSOS''' Ideas]: [http://sourceforge.net/projects/istsos/ istSOS] is a complete sensor data management system for acquiring, storing and dispatching time-series observations. istSOS is compliant with the Sensor Observation Service (SOS) version 1.0 and 2.0 standard from the Open Geospatial Consortium (OGC) and offers unique extended capabilities to support scientific data analyses (integrated quality assurance, RESTful API, on the fly processing with virtual procedures, remote data aggregation and time-space re-projection etc.). istSOS core libraries are written in Python while it easy to use interface is Web based.
 
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* [http://trac.osgeo.org/geos/wiki/GSoC '''GEOS''' Ideas]: GEOS (Geometry Engine - Open Source) is a C++ port of the JTS Topology Suite (JTS). It includes the OpenGIS Simple Features for SQL spatial predicate functions and spatial operators, as well as specific JTS enhanced topology functions.
 
* [http://trac.osgeo.org/geos/wiki/GSoC '''GEOS''' Ideas]: GEOS (Geometry Engine - Open Source) is a C++ port of the JTS Topology Suite (JTS). It includes the OpenGIS Simple Features for SQL spatial predicate functions and spatial operators, as well as specific JTS enhanced topology functions.
 
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:* The GeoServer team asks applicants to introduce themselves on the geoserver-devel list ( Communicating in public is a key success factor to open source development )
 
:* The GeoServer team asks applicants to introduce themselves on the geoserver-devel list ( Communicating in public is a key success factor to open source development )
 
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* [http://docs.codehaus.org/display/GEOTOOLS/Google+Summer+of+Code ''GSOC'']:  [http://live.osgeo.org/en/overview/geotools_overview.html '''GeoTools'''] GeoTools is an open source Java library for working with geospatial data, including both data access, data structures, processing and a powerful rendering engine. GeoTools is a modular library used in a wide range of web service, command line tools and desktop applications.
 
* [http://docs.codehaus.org/display/GEOTOOLS/Google+Summer+of+Code ''GSOC'']:  [http://live.osgeo.org/en/overview/geotools_overview.html '''GeoTools'''] GeoTools is an open source Java library for working with geospatial data, including both data access, data structures, processing and a powerful rendering engine. GeoTools is a modular library used in a wide range of web service, command line tools and desktop applications.
 
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* [http://www.zoo-project.org/trac/wiki/ZOO_GSoC_Idea '''ZOO-Project''' Ideas]: [http://www.zoo-project.org ZOO-Project] is a WPS open source project released under a MIT/X-11 style license. It provides support for WPS 1.0.0 and 2.0.0 versions  and is able to handle services implemented in various programming languages.
 
* [http://www.zoo-project.org/trac/wiki/ZOO_GSoC_Idea '''ZOO-Project''' Ideas]: [http://www.zoo-project.org ZOO-Project] is a WPS open source project released under a MIT/X-11 style license. It provides support for WPS 1.0.0 and 2.0.0 versions  and is able to handle services implemented in various programming languages.
 
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We expect ideas also from [http://live.osgeo.org/en/overview/mapbender_overview.html MapBender], [http://live.osgeo.org/en/overview/geomoose_overview.html GeoMOOSE], [http://mapserver.org/ MapServer], ...
 
We expect ideas also from [http://live.osgeo.org/en/overview/mapbender_overview.html MapBender], [http://live.osgeo.org/en/overview/geomoose_overview.html GeoMOOSE], [http://mapserver.org/ MapServer], ...
 
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Revision as of 00:55, 23 January 2017

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OSGeo Google Summer of Code 2017

The Open Source Geospatial Foundation would like to extend a welcome to all SoC students. On this page you will find links to a host of ideas organized by project. You will find ideas ranging from the depths of computer science graph theory to the heights of visualization. One thing all these ideas have in common is lots and lots of spatial data.

These ideas are *only* to motivate you, and serve as example of the kind of hills we want to charge up. Your own ideas are more than welcomed - they are encouraged. We view you as the next wave of open source leaders and the future of the geospatial industry; show us what you've got!

  • Ok, OSGeo is involved in working with maps and things, but what kind of projects does it really do? Have a look at the live blog feed to see what people are working on right now.

The ideas pages

[Check back often, it's a work in progress]


Each participating project's list of ideas is on the respective projects' wikis, with a short description of the project and what type of students would be interested in it:

OSGeo Foundation member projects

More coming soon: Get started talking to your favorite project's development team today!

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  • GRASS GIS SoC Ideas: GRASS GIS is an open source GIS focusing on analysis, modeling and visualization. It is a collection of modules written in C and Python and has a GUI written in wxPython. If you know Python, or want to implement algorithms in C, take a look!


Guest projects

Like-minded geospatial projects to take part under OSGeo umbrella. If you wish your software project to be listed here, please contact the GSoC admin team, by sending an email to gsoc-admin@osgeo.org


Don't see in the list the project you're interested in?

Contact them in their developers mailing list! Feel free to propose your own idea and get feedback!

I want to apply as a student

Before applying as a student, check out the Google Summer of Code Recommendations for Students page.


Which project do I choose?

Most of the software projects are available pre-built on our Live demo { DVD | USB stick | VirtualMachine } with project overviews and short tutorials where you can try everything out.

View the documents and download the ISO from http://live.osgeo.org
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Important dates

  • Feb 27: Google announces accepted organizations.
Please start talking to the dev communities you are interested in now.
  • March 20: Student applications open.
The earlier you start the more probable it is that you will be accepted!
There is two way feedback during the application process which really helps you improve and clarify your application before the final deadline. The better your involvement with your potential mentors during this period, the better your chances of being selected.
  • April 3: Student application deadline.
  • May 4: Accepted student proposals are announced and Community Bonding Period begins.
  • May 30: Coding begins!
(you may unofficially start a week or two earlier if you know you'll have to take a week or two off during The Summer or you'll be sitting finals in the first week(s) of the program. This must be reflected in your application timeline)
  • June 26 - 30: Phase 1 evaluation
  • July 28: Phase 2 evaluation
  • August 21-29: Pencils down!
  • August 29 - September 5: Final evaluations
  • September 6: Final results announced

[Back to Google Summer of Code 2017 @ OSGeo]