Is.R() Www.stat.auckland.ac.nz/~paul/Talks/Rgraphics.pdf. ROCR: Classifier Visualization in R. Amateur Mapmaking: Getting Started With Shapefiles. One of the great things about (software) code is that people build on it and out from it… Which means that as well as producing ever more complex bits of software, tools also get produced over time that make it easier to do things that were once hard to do, or required expensive commercial software tools. Producing maps is a fine example of this. Not so very long ago, producing your own annotated maps was a hard thing to do.
Then in June, 2005, or so, the Google Maps API came along and suddenly you could create your own maps (or at least, put markers on to a map if you had latitude and longitude co-ordinates available). Since then, things have just got easier. Sometimes, though, when using maps to visualise numerical data sets, just putting markers onto a map, even when they are symbols sized proportionally in accordance with your data, doesn’t quite achieve the effect you want.
But what do you do if the boundaries/shapes you want to plot aren’t supported by the OS API? R-statistics blog.