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Géosas: a Modular and Interoperable Open Source Spatial Data Infrastructure for Research : Volume 368, Issue 368 (06/05/2015)

By Bera, R.

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Book Id: WPLBN0004017068
Format Type: PDF Article :
File Size: Pages 6
Reproduction Date: 2015

Title: Géosas: a Modular and Interoperable Open Source Spatial Data Infrastructure for Research : Volume 368, Issue 368 (06/05/2015)  
Author: Bera, R.
Volume: Vol. 368, Issue 368
Language: English
Subject: Science, Proceedings, International
Collections: Periodicals: Journal and Magazine Collection (Contemporary), Copernicus GmbH
Historic
Publication Date:
2015
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

Citation

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Henaff, G. L., Launay, J., Pichelin, P., Squividant, H., Ruiz, L., Bera, R.,...Aurousseau, P. (2015). Géosas: a Modular and Interoperable Open Source Spatial Data Infrastructure for Research : Volume 368, Issue 368 (06/05/2015). Retrieved from http://www.ebooklibrary.org/


Description
Description: Agrocampus Ouest, UMR 1069, Soil Agrohydrosystem Spatialisation, 35000 Rennes, France. To-date, the commonest way to deal with geographical information and processes still appears to consume local resources, i.e. locally stored data processed on a local desktop or server. The maturity and subsequent growing use of OGC standards to exchange data on the World Wide Web, enhanced in Europe by the INSPIRE Directive, is bound to change the way people (and among them research scientists, especially in environmental sciences) make use of, and manage, spatial data. A clever use of OGC standards can help scientists to better store, share and use data, in particular for modelling. We propose a framework for online processing by making an intensive use of OGC standards. We illustrate it using the Spatial Data Infrastructure (SDI) GéoSAS which is the SDI set up for researchers’ needs in our department. It is based on the existing open source, modular and interoperable Spatial Data Architecture geOrchestra.

Summary
GéoSAS: A modular and interoperable Open Source Spatial Data Infrastructure for research

 

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