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Dear GIScRG,

Some of you might be interested in the BigGeoData summer school:

"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. “

Nick

Begin forwarded message:

From: Spatial Ecology Admin <[log in to unmask]>
Subject: Summer Schools BigGeoData2016 Open Source
Date: 13 May 2016 at 10:25:40 BST
To: <[log in to unmask]>
Reply-To: Spatial Ecology Admin <[log in to unmask]>

Dear colleagues,

Registration open now for two International Summer Schools organized by
www.spatial-ecology.net held at the Univ. of Basilicata, in the
magnificent town of Matera, Italy.

(1) 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.

(2) 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 registration:

www.spatial-ecology.org
www.spatial-ecology.net/upcoming-events
www.facebook.com/spatialecology
twitter: @BigDataEcology

Best regards

Stefano

Stefano Casalegno, Ph.D.
Spatial Ecology - Director