The GeoNode project is an open source initiative backed by the World Bank, OpenGeo, and others with pilot programs in El Salvador and Guatemala. It aims to give a modern spin to the idea of the spatial data infrastructure with an eye to the use and reuse of data, encouraging collaboration, and promoting open data exchange as a default.
At its core, the GeoNode has a stack based on GeoServer, Django, and GeoExt that provides a platform for sophisticated web browser spatial visualization and analysis. Atop this stack, the project has built a map composer and viewer, tools for analysis, and reporting tools. The GeoNode will also sport facilities for styling data as well as collaborative features like ratings, comments, and tagging for data, maps, and styles.
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One of the features we hope to add to GeoNode in the next month or two is an integrated Styler application. It will enable users to use GeoNode as a cartographic tool.
The aim of including this kind of GIS feature in GeoNode is to provide users a practical incentive to upload and maintain their data. Engaged users are the key to successful data management on the internet, and it should be no different for spatial data infrastructure.
Also key to the GeoNode’s plan for success is that it is built on a robust base of open source tools. That’s why as part of our development of the integrated Styler application, OpenGeo is contributing styling user interface components to GeoExt. By dedicating our effort to the underlying open source communities, we can share the results of our work with as many people as possible. And later, as the GeoExt community elaborates and improves upon those components, it will be easier for us to build those benefits back into GeoNode for the benefit of users.
Openness creates a win-win situation for everyone involved. That’s what GeoNode is all about.
January 12, 2010 – 7:10 am
We are pleased to launch GeoNode.org, the rallying point for the GeoNode initiative. Here, a global partnership of governments and organizations forms to bring openness—participation, collaboration, and transparency—to geospatial data and infrastructure.
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