Summers schools in Geo-Data Processing

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Summers schools in Geo-Data Processing

Giuseppe Amatulli

Apologies for cross-posting:

We are pleased to announce: Registration open now for two Summer Schools organized by www.spatial-ecology.net held at the University of Basilicata, Matera, Italy:

- Spatio-Temporal Data Analyses Using Free and Open Source Software (6th-10th June 2016)

An immersion 5 day experience opening new horizons on the use of the vast potentials of the Linux environment and the command line approach to process data using Bash, AWK, Python, GRASS, QGIS, GDAL/OGR, R, PKtools, Openforis. We will guide newbies who have never used a command line terminal to a stage which will allow them to understand and use very advanced open source data processing routines. Our focus is to enhance the approach of self-learning allowing participants to keep on progressing and updating their skills in a continuously evolving technological environment.

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- Hands-on Open Source Drone Mapping and High Performance Computing for Big Geo-Data (13th-17th June 2016)

Another 5 day immersion experience on advanced data processing using high performance computers (HPC) and emerging technologies such as drone mapping, rasdaman (Fastest Array Database on Earth) and cloud computing. We provide a walk-through journey from the introduction of Linux operating system and different open source software (Python, GRASS, GDAL/OGR, R, PKtools, Openforis) to capturing data out in the field using an Unmanned Aerial Vehicle, to complex image processing and data analyses. We focus on how maximising computation performance using multicore on single computer, switching to distributed clusters of computers (using grid engine scheduler) and ultimately data analytics with cutting edge rasdaman software (Big Data Analytics Server).


More information and registrations:

www.spatial-ecology.net/upcoming-events

https://www.facebook.com/spatialecology  > see events

[hidden email]

--
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
Work:  http://sbsc.yale.edu/giuseppe-amatulli

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