Analyzing Geoscientific Data with R: Past, Present, Future

Abstract:

The talk will look back at the largely successful growth of R-spatial, the community of scientists who use R [1,2] for analysing spatial [3] and spatio-temporal [4] data, over the last decade. It will reflect on strengths and weaknesses of the current system and development model, and reveal a number of ambitions several active developers agreed upon earlier this year. I will also relate to the broader contexts of reproducibility of geoscientific research [2], community software development, and the need for scientists who develop software to get recognized for their developments.

[1] Bivand, R.S., E.J. Pebesma, V. Goméz-Rubio, 2013. Applied Spatial Data Analysis with R, Second edition. Springer, NY.
[2] Pebesma, E., D. Nüst, R. Bivand, 2012. The R software environment in reproducible geoscientific research. Eos, Transactions American Geophysical Union 93, vol 16, p. 163-164
[3] http://cran.r-project.org/web/views/Spatial.html
[4] http://cran.r-project.org/web/views/SpatioTemporal.html