?Hi everyone, 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. Please join at: https://ucdenver.zoom.us/j/173408130
If 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. [http://www.geoforall.org/resources/images/Grue_photo.jpg] __________________________________________________ Rafael Moreno, Ph.D. Department of Geography and Environmental Sciences University of Colorado Denver Office: North Classroom 3524, Auraria Campus Campus Box 172 1200 Larimer Street NC 3524 Denver, CO 80204 Phone: 303-352-3762 Fax 303-556-6197 Website: https://clas.ucdenver.edu/directory/faculty-staff/Rafael-Moreno
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