GEOSTAT courses

Open source GIS:

• Bocher, E., Neteler, M. (Eds.) 2012. Geospatial Free and Open Source Software in the 21st Century. Springer, Lecture Notes in Geoinformation and Cartography, 261 p.
• Camara, G., Onsrud, H., 2004. Open Source GIS: Myths and Realities. The National Academic Press, Washington.
• Ramsey, P. et al. 2007. The State of Open Source GIS. Refractions Research, Victoria, BC.
• Steiniger, S. and Bocher, E. 2009. An Overview on Current Free and Open Source Desktop GIS Developments. International Journal of Geographical Information Science, 23(10), 1345-1370.
• Hall, G.B. (Ed), 2008. Open Source Approaches to Spatial Data Handling. Springer, New York. 278p.

Introductory books on R / spatial data analysis in R:

• Beaudette, D., 2009. Open Source Software Tools for Soil Scientists, University of California at Davis.
• Burns, P. 2009. The R Inferno. Burns Statistics, London, 103 p.
• Everitt, B.S., Hothorn, T., 2006. HSAUR: A Handbook of Statistical Analyses Using R. Chapman & Hall/CRC, 325 p.
• Kabacoff, R.I., 2011. R in Action: Data analysis and graphics with R. Manning publications, 470 p.
• Kuhnert, P., Venables, W.N., 2005. An Introduction to R: Software for Statistical Modelling & Computing. CSIRO Canberra, Australia, 362 p.
• Rossiter, D.G., 2009. Introduction to the R Project for Statistical Computing for use at ITC. International Institute for Geo-information Science & Earth Observation, Enschede (NL), 114 p.
• Short, T., 2008. R reference card. EPRI PEAC, 4 pp.
• Zuur, A. F., Ieno, E. N., Meesters, E. H. W. G., 2009. A Beginner’s Guide to R. Springer, Use R series, 228 p.

Spatial databases, data analysis using R+SAGA/GRASS:

• Bivand, R., Pebesma, E., Rubio, V., 2008. Applied Spatial Data Analysis with R. Use R Series, Springer, Heidelberg, pp. 378.
• Böhner, J., Blaschke, T., Montanarella, L. [Eds.] 2008. SAGA – Seconds Out. Hamburger Beiträge zur Physischen Geographie und Landschaftsökologie, Vol.19, pp. 113.
• Hengl, T., 2009. A Practical Guide to Geostatistical Mapping, 2nd edition. University of Amsterdam, 291 p. ISBN 978-90-9024981-0
• Neteler, M., Mitasova, H., 2008. Open Source GIS: A GRASS GIS Approach, 3rd Edt. Springer, The International Series in Engineering and Computer Science: Volume 773. 406 p.
• Neteler, M., Bowman, M.H., Landa, M. and Metz, M., 2012. GRASS GIS: a multi-purpose Open Source GIS. Environmental Modelling & Software, 31: 124-130. [DOI | PDF]
• Obe, R.O. and Hsu, L.S., 2011. PostGIS in Action. Manning Publications, 552 p.
• Schabenberger, O., Gotway, C.A., 2005. Statistical Methods for Spatial Data Analysis. Boca Raton, FL: Chapman & Hall/CRC, 488 pp; (Chapter 9)