R help - Sep 2013 - SPATIO-TEMPORAL ANALYSIS AND BIG DATA PROCESSING USING FREE AND OPEN SOURCE SW

HI,
we are pleased to announce   2 weeks intensive training in:

*SPATIO-TEMPORAL ANALYSIS AND BIG DATA PROCESSING USING FREE AND OPEN
SOURCE SOFTWARE*
16-20 December 2013 & 20-24 January 2014
University of Twente - Enschede - The Netherlands

4 ECTS

Over the few decades there has been an explosion of available data for
environmental spatio-temporal research. This “big data” allows us to
address a number of old and new important questions with unprecedented
rigor and generality. Leveraging these new data streams requires new tools
and increasingly complex workflows. This 2-week course introduces a set of
free and open source software (GRASS, R, Python, AWK, BASH, GDAL) tools to
perform spatio-temporal analysis and modelling of environmental data under
Linux environment. It consists of a set of lectures and practical sessions
where participants use this software packages to perform typical Geographic
Information System (GIS) and Remote Sensing (RS) data analysis tasks. In
this course, attention is paid to the use of command line rather than the
graphical user interface. Yet no programming experience is required to
register for this course as basic principles are introduced.

More info:
 Objectives and program of the course
<http://www.spatial-ecology.net/ost4sem_dokuwiki/doku.php?id=wiki:enschede2013>
 Registration
 <http://www.sense.nl/?module=courses&func=displayplanned&planningid=1332>

  **Please forward to  interested persons.

Best Regards
*
Staff*

Dr. Raul Zurita-Milla (University of Twente, NL)
Dr. Giuseppe Amatulli (Yale University, USA)
Dr. Stefano Casalegno (University of Exeter, UK)
Dr. Pieter Kempeneers (VITO, BE)


-- 
Giuseppe Amatulli
Web: www.spatial-ecology.net

	[[alternative HTML version deleted]]