Hi GIS & RS & ECOLOG-L community, below an interesting initiative for PhD and Post-Docs to learn massive analysis of geo-data (GIS layers and Remote Sensing Images) with powerful open source software.
Please forward this email to anyone who might be interested in this event. Best Regards Giuseppe Amatulli *spatial-ecology* in collaboration with Department of Ecology, Evolution, and Marine Biology <https://www.eemb.ucsb.edu/> at University of California, Santa Barbara <http://www.ucsb.edu/> is organizing a Summer school *Summer school: SPATIO-TEMPORAL ANALYSIS AND BIG DATA PROCESSING USING FREE AND OPEN SOURCE SOFTWARE *(basic and advanced levels) Over the last few decades there has been an explosion in the availability of data for environmental research, and in particular for spatio-temporal analysis. We are now able to address a number of important questions, both new and old, with unprecedented rigor and generality. Leveraging these exciting new data streams requires tools and increasingly complex workflows. This 6-day course introduces a set of free and open source software (BASH, AWK ,GDAL, GRASS, R, Python, PKTOOLS, OFGT) to perform spatio-temporal analysis and modelling of environmental data in a Linux environment. We also introduce multi-core, cloud and cluster computation procedures using High Performance Computing - Amazon Web Services. The course consists of a set of lectures and practical hands-on sessions in which participants perform spatial and temporal analysis using Geographic Information System and Remote Sensing concepts. Although courses focuses on the command line instead of the graphical user interface, *no prior experience with programming or command line interfaces is assumed or required*. To cater to students with prior programming experience, we will hold parallel sessions that introduce more advanced material (e.g. parallel processing) . Our main focus is on teaching self learning and problem solving more than the use of specific tools (see: our teaching method <http://www.spatial-ecology.net/giuseppe/publications/Amatulli_et_al_OGRS.pdf> ) so participants will be able to progress and adapt to learn the newest available data science techniques. *Dates/Location: 16-17-20-21-22 of July / Santa Barbara <https://www.google.com/maps/place/University+of+California,+Santa+Barbara/@34.413963,-119.848947,14z/data=%214m2%213m1%211s0x0:0x4e956b7e5cb6cec2> - USA California.* Registration & info at www.spatial-ecology.net <http://www.spatial-ecology.net/dokuwiki/doku.php?id=wiki:upcomingSantBab> -- Giuseppe Amatulli, Ph.D. Department of Ecology and Evolutionary Biology, Yale University. Jetz Lab, OML Room 405 P.O. Box 208106 165 PROSPECT ST New Haven, CT 06520-8106 Teaching: spatial-ecology.net Work: http://sbsc.yale.edu/giuseppe-amatulli <http://www.spatial-ecology.net>