Training in R

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# Beginners:
 
# Beginners:
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#* Beaudette, D., 2009. [http://casoilresource.lawr.ucdavis.edu/drupal/node/95 Open Source Software Tools for Soil Scientists], University of California at Davis.
 
#* Braun, W.J., Murdoch,  2008. '''[http://www.cambridge.org/0521872650/ A First Course in Statistical Programming with R]'''. Cambridge University Press, Cambridge, 174 p. ISBN 9780521694247
 
#* Braun, W.J., Murdoch,  2008. '''[http://www.cambridge.org/0521872650/ A First Course in Statistical Programming with R]'''. Cambridge University Press, Cambridge, 174 p. ISBN 9780521694247
 
#* Crawley, M.J., 2005. '''[http://www3.imperial.ac.uk/naturalsciences/research/statisticsusingr Statistics: An Introduction using R]'''. John Wiley & Sons, Ltd. ISBN 0470022973
 
#* Crawley, M.J., 2005. '''[http://www3.imperial.ac.uk/naturalsciences/research/statisticsusingr Statistics: An Introduction using R]'''. John Wiley & Sons, Ltd. ISBN 0470022973

Revision as of 15:45, 11 November 2011

Contents

Upcoming training courses

Regular courses/meetings

People in Academia running courses on R

Geostat 5-DAY training courses

GEOSTAT icon

The author of this website regularly organizes (with a group of colleagues: Gerard B.M. Heuvelink, Edzer Pebesma, Victor Olaya Ferrero, Roger Bivand, Olaf Conrad) a 5-days training course entitled "Spatio-temporal data analysis with R + SAGA + Google Earth". The objective of the course is to provide training to junior researchers interested to use R-based tools for analysis of spatially and temporally referenced data. The course is non-commercial, which implies that none of the lecturers is contracted or will receive any financial awards. The course consists of a balanced combination of theoretical and practical training and includes a one-day workshop where each participant can present their case studies and receive a valuable feedback.

To receive a notice about this summer school, please subscribe to the R-sig-geo mailing list, or send an e-mail to the course organizer, or insert a discussion point via this wiki.

The GEOSTAT 2011 summer school was held in IES Koblenz-Landau, Germany.

Figure: GEOSTAT 2011 Summer School, University of Koblenz-Landau, 25 July - 29 July 2011.
Figure: GEOSTAT 2010 Summer School, UNEX Plasencia, 27 June - 4 July 2010.
Figure: GEOSTAT 2009 Summer School, MEDILS Split, 3-10 May 2009.
Figure: GEOSTAT 2008 course for PhD students, University of Belgrade, 16-22 December 2008.
Figure: GEOSTAT 2008 Summer School, University of Amsterdam, 25-30 August 2008.
Figure: GEOSTAT 2007 School, Facolta di Agraria Napoli, 29.01-03.02.2007.

Teach-your-self literature

  1. Beginners:
  2. Spatial data analysis/visualization in R:
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