I was a total newbie to R before spring 2014. Then it was a little trial by fire, trying to learn just enough to keep up with grad students in a class I was co-teaching. Thank goodness for the “co-” part, as my partner was an expert in the topic, and I could contribute in my own areas of expertise, which were/are not R! But I finished the semester with a new-found respect and, frankly, awe for what is possible with R. I have much to learn, and maybe, someday, the time.
Fast forward a few months and the topic keeps cropping up. I shared a beer in Salzburg with Lex Comber and learned about one of his forthcoming publications, an Intro to R for Spatial Analysis and Mapping. Haven’t got my own copy yet, but if it’s what it seems to be, it’ll be one of my assigned texts in the future. In one of our webinars, Trisalyn Nelson spoke about her use of R with her graduate students. And today, I silently scanned through Alex Singleton‘s recent presentation on the Changed Face of GIS, in which R figures prominently for him. There’s something going on here that some smart people have figured out.
Spot on Diana. The book is due out in December and should help popularise R as the computing environment of choice for spatial analysis. Dave and I did virtually all the worked examplesin our text using R.