This is a follow-up blog-post to an earlier introductory post by Steven Brey: Using R: Working with Geospatial Data. In this post, we’ll learn how to plot geospatial data in ggplot2. Why might we want to do this? Well, it’s really … read more ...

R news and tutorials contributed by (552) R bloggers

With ubiquitous collection devices (e.g. smartphones), having too much data may become an increasingly common problem for spatial analysts, even with increasingly powerful computers. This is ironic, because a few short decades ago, too little data was a primary constraint. This tutorial builds on the 'Attribute joins' section of the Creating maps in R tutorial to demonstrate how clusters can be...

Seventh Torino R net meeting on 27 Mar 2014, exceptionally hosted at Polo Universitario di Asti, will have three presentations: Processing and analysis methods for DNA methylation array data, Giovanni Fiorito, Complex Systems for Life Sciences, University of Turin; Temporal Dominance of Sensations (TDS) … Continue reading →

In the core of kriging, Generalized-Least Squares (GLS) and geostatistics lies the multivariate normal (MVN) distribution – a generalization of normal distribution to two or more dimensions, with the option of having non-independent variances (i.e. autocorrelation). In this post I will show: (i) how to use exponential decay and the … Continue reading →

On 24th January 2014 I ran a one day practical course on an "Introduction to Spatial Data Visualisation in R" at the University of Leeds, with the help of demonstrators Rachel Oldroyd and Alistair Leak, who came up from London for the event. The course is designed for people completely new to R, who are especially interested in its spatial...