On August 13th I gave a talk on „Spatial Data Mining in Precision Agriculture“ at NTNU Trondheim, IDI. Those are the slides. The talk revolved around the two key topics of my to-be PhD thesis: spatial regression and spatial clustering. It generally emphasises the usage of spatial data mining and machine learning methods for spatial data and also introduces to the rather new application field of precision agriculture as a nice side-effect.

I’ve recently been active on the R-help mailing list because I had some issues
with the default implementation of neural networks (nnet). Seems as if the
mailing list solved my problem or at least hinted me towards a solution. The
nnet function seems somewhat strict about its arguments.

http://www.mail-archive.com/r-help@r-project.org/msg118338.html
http://www.mail-archive.com/r-help@r-project.org/msg119643.html