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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.<br>
<br>
The National Renewable Energy Laboratory (NREL) is the United States primary laboratory for renewable energy and energy efficiency research and development. Details at
<a href="http://www.nrel.gov" class="OWAAutoLink" id="LPlnk151356">http://www.nrel.gov</a> <br>
<br>
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
<a href="https://www.youtube.com/watch?v=Z0NTPFzGXn8&feature=youtu.be" class="OWAAutoLink" id="LPlnk397046">
https://www.youtube.com/watch?v=Z0NTPFzGXn8&feature=youtu.be</a> <br>
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We thank Rafael Moreno and colleagues at the University of Colarado Denver for their help in organising the GeoForAll free webinars for the benefit of the wider community.<br>
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Best wishes,<br>
<br>
Suchith<br>
<br>
<br>
________________________________________<br>
From: Moreno-sanchez, Rafael <Rafael.Moreno@ucdenver.edu><br>
Sent: 23 November 2016 1:08 AM<br>
To: ucgis-all<br>
Subject: Geo4All Webinar Series Friday December 2 7:00 PM GMT FOSS4G at NREL<br>
<br>
Hi everyone,<br>
<br>
On Friday December 2 at 7:00 PM GMT (12:00 PM Colorado time) we will have the next presentation in the Geo4All webinar series.<br>
Please join at:<br>
<a href="https://ucdenver.zoom.us/j/173408130" class="OWAAutoLink" id="LPlnk784950">https://ucdenver.zoom.us/j/173408130</a> <br>
<br>
<br>
<br>
If you can’t attend, presentation recording will be posted in the Geo4All YouTube Channel
<a href="https://www.youtube.com/channel/UCL1E2akvCNWP_nC0p5CpB8g" class="OWAAutoLink" id="LPlnk541792">
https://www.youtube.com/channel/UCL1E2akvCNWP_nC0p5CpB8g</a> <br>
<br>
<br>
<br>
<b>FOSS4G Tools for Geospatial Analysis at the National Renewable Energy Lab: A Pragmatic Approach</b><br>
<br>
Presented by Nick Grue<br>
<br>
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.<br>
<br>
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.<br>
<br>
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.<br>
<br>
<br>
__________________________________________________<br>
Rafael Moreno, Ph.D.<br>
Department of Geography and Environmental Sciences<br>
University of Colorado Denver<br>
Office: North Classroom 3524, Auraria Campus<br>
Campus Box 172<br>
1200 Larimer Street NC 3524<br>
Denver, CO 80204<br>
Phone: 303-352-3762<br>
Fax 303-556-6197<br>
Website: <a href="https://clas.ucdenver.edu/directory/faculty-staff/Rafael-Moreno" class="OWAAutoLink" id="LPlnk873790">
https://clas.ucdenver.edu/directory/faculty-staff/Rafael-Moreno</a> <br>
<br>
<br>
<br>
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