On behalf of GeoForAll, we would like to welcome you to our next webinar which might be of interest to wider community.Details on the webinar on Friday December 2, 2016 at 7:00 PM GMT and how to connect remotely below.
The National Renewable Energy Laboratory (NREL) is the United States’ primary laboratory for renewable energy and energy efficiency research and development. Details at http://www.nrel.gov
Talk details and how to connect are at http://www.geoforall.org/webinars/
Please join at https://ucdenver.zoom.us/j/173408130If you can’t attend, presentation recording will be posted in the Geo4All YouTube Channel https://www.youtube.com/channel/UCL1E2akvCNWP_nC0p5CpB8g
FOSS4G Tools for Geospatial Analysis at the National Renewable Energy Lab: A Pragmatic Approach
Presented by Nick Grue
The proliferation of geospatial analysis tools and methods means that no matter what your analysis goals, there are likely several options for running analysis, generating data, and visualizing your results. With a wide selection of tools to choose from, you are also presented with the question of which tool is most useful, has highest performance and efficiency, and easiest to use for your case.Here at the National Renewable Energy Lab (NREL), we had the unique opportunity to start fresh with building a new analysis model, and had to decide which technologies would be most useful. We eventually ended up primarily using Python for analysis, and PostGIS and Geoserver for visualization. Deciding on those tools took a fair amount of testing and comparison. This webinar will discuss the different tests we ran, our findings, and why some tools appeared to be better suited for our case than others.Analysis tools discussed in this webinar will include PostGIS vector analysis, PostGIS raster analysis, Python analysis of vector datasets, Python vectorized analysis of raster datasets, Python multiprocessing, and Geoserver visualization.
Dan Getman of the NREL did an excellent presentation last year on “Creation, Analysis, Sharing, and Visualization of Complex Spatiotemporal Data Using Free and Open Source Software at the National Renewable Energy Laboratory”.The recording is at https://www.youtube.com/watch?v=Z0NTPFzGXn8&feature=youtu.be
We thank Rafael Moreno and colleagues at the University of Colarado Denver, USA for their help in organising the GeoForAll free webinars for the benefit of the wider community.