Creation, Analysis, Sharing, and Visualization of Complex Spatiotemporal Data using Free and Open Source Software at the National Renewable Energy Laboratory

Geospatial data science at the National Renewable Energy Laboratory incorporates a wide range of activities including the creation of large spatiotemporal resource datasets, modeling the technical potential of renewable energy at the national level, web based visualization of complex scenario based modeling, and sharing of both datasets and analysis methods with industry, academia, and the public through web services. In this presentation, we describe an integrated system in which all of the steps from data acquisition through analysis and collaborative research to sharing results with the public are accomplished using free and open source software and frameworks. Technologies used include R, Python, GDAL, OGR, Geoserver, Postgres, PostGIS, Mongo, Q GIS, NodeJS, Leaflet, OpenLayers, Ruby on Rails, CKAN, D3, and several other analysis and web based visualization libraries.


Schedule info
Session Time Slot(s):
Regency C - Tuesday, March 10, 2015 - 16:15 to 16:50



I think it would help people decide if its applicable to their particular workflow if you specify which open source frameworks and tools you used for your work? e.g. GeoServer, MapServer, PostGIS, QGIS, NodeJS, Leaflet, OL3 etc.

Public comment

I had such a great time attending and presenting at the FOSS4G this year. Just wanted to say thanks for coming and for all the great conversations and questions.


Public comment