[Portugal] Fwd: Two Summer Schools on Open-Source Geo Tools organized by Spatial Ecology

Artur Gil arturgil gmail.com
Quarta-Feira, 11 de Maio de 2016 - 08:11:34 PDT


Two Summer Schools on Open-Source Geo Tools

Registration now is open for two International Summer Schools
introducing to open-source geo tools, organized by Spatial Ecology and
held at the University of Basilicata in Matera, Italy. Without
assuming previous programming skills, geo data users will be guided to
immerse into the power and wealth of open-source tools, ranging from
desktop to high-performance data processing. Specifically, experts
from the rasdaman team will introduce to Big Geo Data.

Organized into two consecutive summer schools, the following topics
will be addressed:

Spatio-Temporal Data Analyses Using Free and Open Source Software
(6th-10th June 2016)
An immersive 5 day experience opening new horizons on the use of the
vast potential of the Linux environment and the command line approach
to processing data using Bash, AWK, Python, GRASS, QGIS, GDAL/OGR, R,
PKtools, and Openforis. Newbies who have never used a command line
terminal will be guided to a stage allowing them to understand and use
advanced open source data processing routines.

Hands-on Open Source Drone Mapping and High Performance Computing for
Big Geo Data (13th-17th June 2016)
Another 5 day immersion experience will be on advanced data processing
using high performance computers (HPC), cloud computing, and
spatio-temporal raster processing, as well as emerging technologies
such as drone mapping. The course will focus on how to maximise
computation performance using first multicore techniques on single
computers, then switching to distributed clusters of computers using
grid engine schedulers, and ultimately data analytics with the
rasdaman Big Data Analytics Engine.

Spatial Ecology is a non-profit organization standing for Data
Affectionists for Free & Open Source Solutions. Goal is helping people
to learn free and open source technologies for spatio-temporal data
analysis, modelling, and big data processing.

More information and registration:
www.spatial-ecology.org

Source: https://www.linkedin.com/groups/1206717/1206717-6135789189628727299


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